From 0900cc583cc5e51b7c6b378de93cca29e11cb0e9 Mon Sep 17 00:00:00 2001 From: Chris Xiong Date: Fri, 28 Oct 2016 16:35:21 +0800 Subject: Add the GLFW port, still using OpenGL 2.1 though. And a more detailed readme. --- smelt/glfw/CxImage/ximadsp.cpp | 3771 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 3771 insertions(+) create mode 100644 smelt/glfw/CxImage/ximadsp.cpp (limited to 'smelt/glfw/CxImage/ximadsp.cpp') diff --git a/smelt/glfw/CxImage/ximadsp.cpp b/smelt/glfw/CxImage/ximadsp.cpp new file mode 100644 index 0000000..df73136 --- /dev/null +++ b/smelt/glfw/CxImage/ximadsp.cpp @@ -0,0 +1,3771 @@ +// xImaDsp.cpp : DSP functions +/* 07/08/2001 v1.00 - Davide Pizzolato - www.xdp.it + * CxImage version 7.0.0 31/Dec/2010 + */ + +#include "ximage.h" + +#include "ximaiter.h" + +#if CXIMAGE_SUPPORT_DSP + +//////////////////////////////////////////////////////////////////////////////// +/** + * Converts the image to B&W. + * The OptimalThreshold() function can be used for calculating the optimal threshold. + * \param level: the lightness threshold. + * \return true if everything is ok + */ +bool CxImage::Threshold(uint8_t level) +{ + if (!pDib) return false; + if (head.biBitCount == 1) return true; + + GrayScale(); + + CxImage tmp(head.biWidth,head.biHeight,1); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + for (int32_t y=0;ylevel) + tmp.BlindSetPixelIndex(x,y,1); + else + tmp.BlindSetPixelIndex(x,y,0); + } + } + tmp.SetPaletteColor(0,0,0,0); + tmp.SetPaletteColor(1,255,255,255); + Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Converts the image to B&W, using a threshold mask + * \param pThresholdMask: the lightness threshold mask. + * the pThresholdMask image must be grayscale with same with and height of the current image + * \return true if everything is ok + */ +bool CxImage::Threshold(CxImage* pThresholdMask) +{ + if (!pDib) return false; + if (head.biBitCount == 1) return true; + + if (!pThresholdMask) return false; + + if (!pThresholdMask->IsValid() || + !pThresholdMask->IsGrayScale() || + pThresholdMask->GetWidth() != GetWidth() || + pThresholdMask->GetHeight() != GetHeight()){ + strcpy(info.szLastError,"invalid ThresholdMask"); + return false; + } + + GrayScale(); + + CxImage tmp(head.biWidth,head.biHeight,1); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + for (int32_t y=0;ypThresholdMask->BlindGetPixelIndex(x,y)) + tmp.BlindSetPixelIndex(x,y,1); + else + tmp.BlindSetPixelIndex(x,y,0); + } + } + tmp.SetPaletteColor(0,0,0,0); + tmp.SetPaletteColor(1,255,255,255); + Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Filters only the pixels with a lightness less (or more) than the threshold level, + * and preserves the colors for the unfiltered pixels. + * \param level = the lightness threshold. + * \param bDirection = false: filter dark pixels, true: filter light pixels + * \param nBkgndColor = filtered pixels are set to nBkgndColor color + * \param bSetAlpha = if true, sets also the alpha component for the filtered pixels, with nBkgndColor.rgbReserved + * \return true if everything is ok + * \author [DP], [wangsongtao] + */ +//////////////////////////////////////////////////////////////////////////////// +bool CxImage::Threshold2(uint8_t level, bool bDirection, RGBQUAD nBkgndColor, bool bSetAlpha) +{ + if (!pDib) return false; + if (head.biBitCount == 1) return true; + + CxImage tmp(*this, true, false, false); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + tmp.GrayScale(); + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y=level) BlindSetPixelColor(x,y,nBkgndColor,bSetAlpha); + } + } + } + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract RGB channels from the image. Each channel is an 8 bit grayscale image. + * \param r,g,b: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitRGB(CxImage* r,CxImage* g,CxImage* b) +{ + if (!pDib) return false; + if (r==NULL && g==NULL && b==NULL) return false; + + CxImage tmpr(head.biWidth,head.biHeight,8); + CxImage tmpg(head.biWidth,head.biHeight,8); + CxImage tmpb(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t y=0; yTransfer(tmpr); + if (g) g->Transfer(tmpg); + if (b) b->Transfer(tmpb); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract CMYK channels from the image. Each channel is an 8 bit grayscale image. + * \param c,m,y,k: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitCMYK(CxImage* c,CxImage* m,CxImage* y,CxImage* k) +{ + if (!pDib) return false; + if (c==NULL && m==NULL && y==NULL && k==NULL) return false; + + CxImage tmpc(head.biWidth,head.biHeight,8); + CxImage tmpm(head.biWidth,head.biHeight,8); + CxImage tmpy(head.biWidth,head.biHeight,8); + CxImage tmpk(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t yy=0; yyTransfer(tmpc); + if (m) m->Transfer(tmpm); + if (y) y->Transfer(tmpy); + if (k) k->Transfer(tmpk); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract YUV channels from the image. Each channel is an 8 bit grayscale image. + * \param y,u,v: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitYUV(CxImage* y,CxImage* u,CxImage* v) +{ + if (!pDib) return false; + if (y==NULL && u==NULL && v==NULL) return false; + + CxImage tmpy(head.biWidth,head.biHeight,8); + CxImage tmpu(head.biWidth,head.biHeight,8); + CxImage tmpv(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t yy=0; yyTransfer(tmpy); + if (u) u->Transfer(tmpu); + if (v) v->Transfer(tmpv); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract YIQ channels from the image. Each channel is an 8 bit grayscale image. + * \param y,i,q: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitYIQ(CxImage* y,CxImage* i,CxImage* q) +{ + if (!pDib) return false; + if (y==NULL && i==NULL && q==NULL) return false; + + CxImage tmpy(head.biWidth,head.biHeight,8); + CxImage tmpi(head.biWidth,head.biHeight,8); + CxImage tmpq(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t yy=0; yyTransfer(tmpy); + if (i) i->Transfer(tmpi); + if (q) q->Transfer(tmpq); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract XYZ channels from the image. Each channel is an 8 bit grayscale image. + * \param x,y,z: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitXYZ(CxImage* x,CxImage* y,CxImage* z) +{ + if (!pDib) return false; + if (x==NULL && y==NULL && z==NULL) return false; + + CxImage tmpx(head.biWidth,head.biHeight,8); + CxImage tmpy(head.biWidth,head.biHeight,8); + CxImage tmpz(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t yy=0; yyTransfer(tmpx); + if (y) y->Transfer(tmpy); + if (z) z->Transfer(tmpz); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Extract HSL channels from the image. Each channel is an 8 bit grayscale image. + * \param h,s,l: pointers to CxImage objects, to store the splited channels + * \return true if everything is ok + */ +bool CxImage::SplitHSL(CxImage* h,CxImage* s,CxImage* l) +{ + if (!pDib) return false; + if (h==NULL && s==NULL && l==NULL) return false; + + CxImage tmph(head.biWidth,head.biHeight,8); + CxImage tmps(head.biWidth,head.biHeight,8); + CxImage tmpl(head.biWidth,head.biHeight,8); + + RGBQUAD color; + for(int32_t y=0; yTransfer(tmph); + if (s) s->Transfer(tmps); + if (l) l->Transfer(tmpl); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +#define HSLMAX 255 /* H,L, and S vary over 0-HSLMAX */ +#define RGBMAX 255 /* R,G, and B vary over 0-RGBMAX */ + /* HSLMAX BEST IF DIVISIBLE BY 6 */ + /* RGBMAX, HSLMAX must each fit in a uint8_t. */ +/* Hue is undefined if Saturation is 0 (grey-scale) */ +/* This value determines where the Hue scrollbar is */ +/* initially set for achromatic colors */ +#define HSLUNDEFINED (HSLMAX*2/3) +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::RGBtoHSL(RGBQUAD lRGBColor) +{ + uint8_t R,G,B; /* input RGB values */ + uint8_t H,L,S; /* output HSL values */ + uint8_t cMax,cMin; /* max and min RGB values */ + uint16_t Rdelta,Gdelta,Bdelta; /* intermediate value: % of spread from max*/ + + R = lRGBColor.rgbRed; /* get R, G, and B out of uint32_t */ + G = lRGBColor.rgbGreen; + B = lRGBColor.rgbBlue; + + cMax = max( max(R,G), B); /* calculate lightness */ + cMin = min( min(R,G), B); + L = (uint8_t)((((cMax+cMin)*HSLMAX)+RGBMAX)/(2*RGBMAX)); + + if (cMax==cMin){ /* r=g=b --> achromatic case */ + S = 0; /* saturation */ + H = HSLUNDEFINED; /* hue */ + } else { /* chromatic case */ + if (L <= (HSLMAX/2)) /* saturation */ + S = (uint8_t)((((cMax-cMin)*HSLMAX)+((cMax+cMin)/2))/(cMax+cMin)); + else + S = (uint8_t)((((cMax-cMin)*HSLMAX)+((2*RGBMAX-cMax-cMin)/2))/(2*RGBMAX-cMax-cMin)); + /* hue */ + Rdelta = (uint16_t)((((cMax-R)*(HSLMAX/6)) + ((cMax-cMin)/2) ) / (cMax-cMin)); + Gdelta = (uint16_t)((((cMax-G)*(HSLMAX/6)) + ((cMax-cMin)/2) ) / (cMax-cMin)); + Bdelta = (uint16_t)((((cMax-B)*(HSLMAX/6)) + ((cMax-cMin)/2) ) / (cMax-cMin)); + + if (R == cMax) + H = (uint8_t)(Bdelta - Gdelta); + else if (G == cMax) + H = (uint8_t)((HSLMAX/3) + Rdelta - Bdelta); + else /* B == cMax */ + H = (uint8_t)(((2*HSLMAX)/3) + Gdelta - Rdelta); + +// if (H < 0) H += HSLMAX; //always false + if (H > HSLMAX) H -= HSLMAX; + } + RGBQUAD hsl={L,S,H,0}; + return hsl; +} +//////////////////////////////////////////////////////////////////////////////// +float CxImage::HueToRGB(float n1,float n2, float hue) +{ + // fixed implementation for HSL2RGB routine + float rValue; + + if (hue > 360) + hue = hue - 360; + else if (hue < 0) + hue = hue + 360; + + if (hue < 60) + rValue = n1 + (n2-n1)*hue/60.0f; + else if (hue < 180) + rValue = n2; + else if (hue < 240) + rValue = n1+(n2-n1)*(240-hue)/60; + else + rValue = n1; + + return rValue; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::HSLtoRGB(COLORREF cHSLColor) +{ + return HSLtoRGB(RGBtoRGBQUAD(cHSLColor)); +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::HSLtoRGB(RGBQUAD lHSLColor) +{ + // fixed implementation for HSL2RGB routine + float h,s,l; + float m1,m2; + uint8_t r,g,b; + + h = (float)lHSLColor.rgbRed * 360.0f/255.0f; + s = (float)lHSLColor.rgbGreen/255.0f; + l = (float)lHSLColor.rgbBlue/255.0f; + + if (l <= 0.5) m2 = l * (1+s); + else m2 = l + s - l*s; + + m1 = 2 * l - m2; + + if (s == 0) { + r=g=b=(uint8_t)(l*255.0f); + } else { + r = (uint8_t)(HueToRGB(m1,m2,h+120) * 255.0f); + g = (uint8_t)(HueToRGB(m1,m2,h) * 255.0f); + b = (uint8_t)(HueToRGB(m1,m2,h-120) * 255.0f); + } + + RGBQUAD rgb = {b,g,r,0}; + return rgb; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::YUVtoRGB(RGBQUAD lYUVColor) +{ + int32_t U,V,R,G,B; + float Y = lYUVColor.rgbRed; + U = lYUVColor.rgbGreen - 128; + V = lYUVColor.rgbBlue - 128; + +// R = (int32_t)(1.164 * Y + 2.018 * U); +// G = (int32_t)(1.164 * Y - 0.813 * V - 0.391 * U); +// B = (int32_t)(1.164 * Y + 1.596 * V); + R = (int32_t)( Y + 1.403f * V); + G = (int32_t)( Y - 0.344f * U - 0.714f * V); + B = (int32_t)( Y + 1.770f * U); + + R= min(255,max(0,R)); + G= min(255,max(0,G)); + B= min(255,max(0,B)); + RGBQUAD rgb={(uint8_t)B,(uint8_t)G,(uint8_t)R,0}; + return rgb; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::RGBtoYUV(RGBQUAD lRGBColor) +{ + int32_t Y,U,V,R,G,B; + R = lRGBColor.rgbRed; + G = lRGBColor.rgbGreen; + B = lRGBColor.rgbBlue; + +// Y = (int32_t)( 0.257 * R + 0.504 * G + 0.098 * B); +// U = (int32_t)( 0.439 * R - 0.368 * G - 0.071 * B + 128); +// V = (int32_t)(-0.148 * R - 0.291 * G + 0.439 * B + 128); + Y = (int32_t)(0.299f * R + 0.587f * G + 0.114f * B); + U = (int32_t)((B-Y) * 0.565f + 128); + V = (int32_t)((R-Y) * 0.713f + 128); + + Y= min(255,max(0,Y)); + U= min(255,max(0,U)); + V= min(255,max(0,V)); + RGBQUAD yuv={(uint8_t)V,(uint8_t)U,(uint8_t)Y,0}; + return yuv; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::YIQtoRGB(RGBQUAD lYIQColor) +{ + int32_t I,Q,R,G,B; + float Y = lYIQColor.rgbRed; + I = lYIQColor.rgbGreen - 128; + Q = lYIQColor.rgbBlue - 128; + + R = (int32_t)( Y + 0.956f * I + 0.621f * Q); + G = (int32_t)( Y - 0.273f * I - 0.647f * Q); + B = (int32_t)( Y - 1.104f * I + 1.701f * Q); + + R= min(255,max(0,R)); + G= min(255,max(0,G)); + B= min(255,max(0,B)); + RGBQUAD rgb={(uint8_t)B,(uint8_t)G,(uint8_t)R,0}; + return rgb; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::RGBtoYIQ(RGBQUAD lRGBColor) +{ + int32_t Y,I,Q,R,G,B; + R = lRGBColor.rgbRed; + G = lRGBColor.rgbGreen; + B = lRGBColor.rgbBlue; + + Y = (int32_t)( 0.2992f * R + 0.5868f * G + 0.1140f * B); + I = (int32_t)( 0.5960f * R - 0.2742f * G - 0.3219f * B + 128); + Q = (int32_t)( 0.2109f * R - 0.5229f * G + 0.3120f * B + 128); + + Y= min(255,max(0,Y)); + I= min(255,max(0,I)); + Q= min(255,max(0,Q)); + RGBQUAD yiq={(uint8_t)Q,(uint8_t)I,(uint8_t)Y,0}; + return yiq; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::XYZtoRGB(RGBQUAD lXYZColor) +{ + int32_t X,Y,Z,R,G,B; + X = lXYZColor.rgbRed; + Y = lXYZColor.rgbGreen; + Z = lXYZColor.rgbBlue; + double k=1.088751; + + R = (int32_t)( 3.240479f * X - 1.537150f * Y - 0.498535f * Z * k); + G = (int32_t)( -0.969256f * X + 1.875992f * Y + 0.041556f * Z * k); + B = (int32_t)( 0.055648f * X - 0.204043f * Y + 1.057311f * Z * k); + + R= min(255,max(0,R)); + G= min(255,max(0,G)); + B= min(255,max(0,B)); + RGBQUAD rgb={(uint8_t)B,(uint8_t)G,(uint8_t)R,0}; + return rgb; +} +//////////////////////////////////////////////////////////////////////////////// +RGBQUAD CxImage::RGBtoXYZ(RGBQUAD lRGBColor) +{ + int32_t X,Y,Z,R,G,B; + R = lRGBColor.rgbRed; + G = lRGBColor.rgbGreen; + B = lRGBColor.rgbBlue; + + X = (int32_t)( 0.412453f * R + 0.357580f * G + 0.180423f * B); + Y = (int32_t)( 0.212671f * R + 0.715160f * G + 0.072169f * B); + Z = (int32_t)((0.019334f * R + 0.119193f * G + 0.950227f * B)*0.918483657f); + + //X= min(255,max(0,X)); + //Y= min(255,max(0,Y)); + //Z= min(255,max(0,Z)); + RGBQUAD xyz={(uint8_t)Z,(uint8_t)Y,(uint8_t)X,0}; + return xyz; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Generates a "rainbow" palette with saturated colors + * \param correction: 1 generates a single hue spectrum. 0.75 is nice for scientific applications. + */ +void CxImage::HuePalette(float correction) +{ + if (head.biClrUsed==0) return; + + for(uint32_t j=0; j 1.0f) blend = 1.0f; + int32_t a0 = (int32_t)(256*blend); + int32_t a1 = 256 - a0; + + bool bFullBlend = false; + if (blend > 0.999f) bFullBlend = true; + + RGBQUAD color,hsl; + if (head.biClrUsed==0){ + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y>8); + color.rgbBlue = (uint8_t)((hsl.rgbBlue * a0 + color.rgbBlue * a1)>>8); + color.rgbGreen = (uint8_t)((hsl.rgbGreen * a0 + color.rgbGreen * a1)>>8); + BlindSetPixelColor(x,y,color); + } + } + } + } + } else { + for(uint32_t j=0; j + for (int32_t i=0;i<256;i++) { + cTable[i] = (uint8_t)max(0,min(255,(int32_t)((i-128)*c + brightness + 0.5f))); + } + + return Lut(cTable); +} +//////////////////////////////////////////////////////////////////////////////// +/** + * \return mean lightness of the image. Useful with Threshold() and Light() + */ +float CxImage::Mean() +{ + if (!pDib) return 0; + + CxImage tmp(*this,true); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + tmp.GrayScale(); + float sum=0; + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + if (xmin==xmax || ymin==ymax) return (float)0.0; + + uint8_t *iSrc=tmp.info.pImage; + iSrc += tmp.info.dwEffWidth*ymin; // necessary for selections + + for(int32_t y=ymin; y + for(int32_t x=xmin; x(y+j) || (y+j)>=head.biHeight) continue; + iY = iY2+x; + for(int32_t k=-k2;k(x+k) || (x+k)>=head.biWidth) continue; + i=kernel[iCount]; + b += cPtr[iY+k] * i; + ksumcur += i; + } + } + if (Kfactor==0 || ksumcur==0){ + cPtr2[iY1] = (uint8_t)min(255, max(0,(int32_t)(b + Koffset))); + } else if (ksumtot == ksumcur) { + cPtr2[iY1] = (uint8_t)min(255, max(0,(int32_t)(b/Kfactor + Koffset))); + } else { + cPtr2[iY1] = (uint8_t)min(255, max(0,(int32_t)((b*ksumtot)/(ksumcur*Kfactor) + Koffset))); + } + } + } + } + } + else + { + for(int32_t y=ymin; y r) r=c.rgbRed; + if (c.rgbGreen > g) g=c.rgbGreen; + if (c.rgbBlue > b) b=c.rgbBlue; + } + } + c.rgbRed = r; + c.rgbGreen = g; + c.rgbBlue = b; + tmp.BlindSetPixelColor(x,y,c); + } + } + } + Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Enhance the variations between adjacent pixels. + * Similar results can be achieved using Filter(), + * but the algorithms are different both in Edge() and in Contour(). + * \param Ksize: size of the kernel. + * \return true if everything is ok + */ +bool CxImage::Edge(int32_t Ksize) +{ + if (!pDib) return false; + + int32_t k2 = Ksize/2; + int32_t kmax= Ksize-k2; + uint8_t r,g,b,rr,gg,bb; + RGBQUAD c; + + CxImage tmp(*this); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y r) r=c.rgbRed; + if (c.rgbGreen > g) g=c.rgbGreen; + if (c.rgbBlue > b) b=c.rgbBlue; + + if (c.rgbRed < rr) rr=c.rgbRed; + if (c.rgbGreen < gg) gg=c.rgbGreen; + if (c.rgbBlue < bb) bb=c.rgbBlue; + } + } + c.rgbRed = (uint8_t)(255-abs(r-rr)); + c.rgbGreen = (uint8_t)(255-abs(g-gg)); + c.rgbBlue = (uint8_t)(255-abs(b-bb)); + tmp.BlindSetPixelColor(x,y,c); + } + } + } + Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Blends two images + * \param imgsrc2: image to be mixed with this + * \param op: blending method; see ImageOpType + * \param lXOffset, lYOffset: image displacement + * \param bMixAlpha: if true and imgsrc2 has a valid alpha layer, it will be mixed in the destination image. + * \return true if everything is ok + * \author [Mwolski],[brunom] + */ +void CxImage::Mix(CxImage & imgsrc2, ImageOpType op, int32_t lXOffset, int32_t lYOffset, bool bMixAlpha) +{ + int32_t lWide = min(GetWidth(),imgsrc2.GetWidth()-lXOffset); + int32_t lHeight = min(GetHeight(),imgsrc2.GetHeight()-lYOffset); + + bool bEditAlpha = false; + +#if CXIMAGE_SUPPORT_ALPHA + bEditAlpha = imgsrc2.AlphaIsValid() & bMixAlpha; + if (bEditAlpha && AlphaIsValid()==false){ + AlphaCreate(); + } +#endif //CXIMAGE_SUPPORT_ALPHA + + RGBQUAD rgbBackgrnd1 = GetTransColor(); + RGBQUAD rgb1, rgb2, rgbDest; + + for(int32_t lY=0;lY 250) ){ + rgbDest = rgb2; + } else { + // Alpha Blending with associative calculation merge + // (http://en.wikipedia.org/wiki/Alpha_compositing) + int32_t a0,a1,a2; + // Transparency of the superimposed image + a2 = rgb2.rgbReserved; + // Calculation transparency of the underlying image + a1 = (rgb1.rgbReserved * (255 - a2)) >> 8; + // total transparency of the new pixel + a0 = a2 + a1; + // New transparency assume (a0 == 0 is the restriction s.o. (range 5-250) intercepted) + if (bEditAlpha) rgbDest.rgbReserved = a0; + // each color channel to calculate + rgbDest.rgbBlue = (BYTE)((rgb2.rgbBlue * a2 + a1 * rgb1.rgbBlue )/a0); + rgbDest.rgbGreen = (BYTE)((rgb2.rgbGreen * a2 + a1 * rgb1.rgbGreen)/a0); + rgbDest.rgbRed = (BYTE)((rgb2.rgbRed * a2 + a1 * rgb1.rgbRed )/a0); + } + } else { + rgbDest = rgb1; + rgbDest.rgbReserved = 0; + } + break; + default: + return; + } + SetPixelColor(lX,lY,rgbDest,bEditAlpha); + } + } + } +} +//////////////////////////////////////////////////////////////////////////////// +// thanks to Kenneth Ballard +void CxImage::MixFrom(CxImage & imagesrc2, int32_t lXOffset, int32_t lYOffset) +{ + int32_t width = imagesrc2.GetWidth(); + int32_t height = imagesrc2.GetHeight(); + + int32_t x, y; + + if (imagesrc2.IsTransparent()) { + for(x = 0; x < width; x++) { + for(y = 0; y < height; y++) { + if(!imagesrc2.IsTransparent(x,y)){ + SetPixelColor(x + lXOffset, y + lYOffset, imagesrc2.BlindGetPixelColor(x, y)); + } + } + } + } else { //no transparency so just set it + for(x = 0; x < width; x++) { + for(y = 0; y < height; y++) { + SetPixelColor(x + lXOffset, y + lYOffset, imagesrc2.BlindGetPixelColor(x, y)); + } + } + } +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Adjusts separately the red, green, and blue values in the image. + * \param r, g, b: can be from -255 to +255. + * \return true if everything is ok + */ +bool CxImage::ShiftRGB(int32_t r, int32_t g, int32_t b) +{ + if (!pDib) return false; + RGBQUAD color; + if (head.biClrUsed==0){ + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y + for (int32_t i=0;i<256;i++) { + cTable[i] = (uint8_t)max(0,min(255,(int32_t)( pow((double)i, dinvgamma) / dMax))); + } + + return Lut(cTable); +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Adjusts the color balance indipendent for each color channel + * \param gammaR, gammaG, gammaB can be from 0.1 to 5. + * \return true if everything is ok + * \sa Gamma + */ +bool CxImage::GammaRGB(float gammaR, float gammaG, float gammaB) +{ + if (!pDib) return false; + + if (gammaR <= 0.0f) return false; + if (gammaG <= 0.0f) return false; + if (gammaB <= 0.0f) return false; + + double dinvgamma, dMax; + int32_t i; + + dinvgamma = 1/gammaR; + dMax = pow(255.0, dinvgamma) / 255.0; + uint8_t cTableR[256]; + for (i=0;i<256;i++) { + cTableR[i] = (uint8_t)max(0,min(255,(int32_t)( pow((double)i, dinvgamma) / dMax))); + } + + dinvgamma = 1/gammaG; + dMax = pow(255.0, dinvgamma) / 255.0; + uint8_t cTableG[256]; + for (i=0;i<256;i++) { + cTableG[i] = (uint8_t)max(0,min(255,(int32_t)( pow((double)i, dinvgamma) / dMax))); + } + + dinvgamma = 1/gammaB; + dMax = pow(255.0, dinvgamma) / 255.0; + uint8_t cTableB[256]; + for (i=0;i<256;i++) { + cTableB[i] = (uint8_t)max(0,min(255,(int32_t)( pow((double)i, dinvgamma) / dMax))); + } + + return Lut(cTableR, cTableG, cTableB); +} +//////////////////////////////////////////////////////////////////////////////// + +//#if !defined (_WIN32_WCE) +/** + * Adjusts the intensity of each pixel to the median intensity of its surrounding pixels. + * \param Ksize: size of the kernel. + * \return true if everything is ok + */ +bool CxImage::Median(int32_t Ksize) +{ + if (!pDib) return false; + + int32_t k2 = Ksize/2; + int32_t kmax= Ksize-k2; + int32_t i,j,k; + + RGBQUAD* kernel = (RGBQUAD*)malloc(Ksize*Ksize*sizeof(RGBQUAD)); + + CxImage tmp(*this); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y + for(int32_t x=xmin; xGetWidth(); + h=srcReal->GetHeight(); + } else { + w=srcImag->GetWidth(); + h=srcImag->GetHeight(); + } + + bool bXpow2 = IsPowerof2(w); + bool bYpow2 = IsPowerof2(h); + //if bForceFFT, width AND height must be powers of 2 + if (bForceFFT && !(bXpow2 && bYpow2)) { + int32_t i; + + i=0; + while((1< copy the image + if (srcReal && dstReal) tmpReal->Copy(*srcReal,true,false,false); + if (srcImag && dstImag) tmpImag->Copy(*srcImag,true,false,false); + + // dst&&src are empty -> create new one, else turn to GrayScale + if (srcReal==0 && dstReal==0){ + tmpReal = new CxImage(w,h,8); + tmpReal->Clear(0); + tmpReal->SetGrayPalette(); + } else { + if (!tmpReal->IsGrayScale()) tmpReal->GrayScale(); + } + if (srcImag==0 && dstImag==0){ + tmpImag = new CxImage(w,h,8); + tmpImag->Clear(0); + tmpImag->SetGrayPalette(); + } else { + if (!tmpImag->IsGrayScale()) tmpImag->GrayScale(); + } + + if (!(tmpReal->IsValid() && tmpImag->IsValid())){ + if (srcReal==0 && dstReal==0) delete tmpReal; + if (srcImag==0 && dstImag==0) delete tmpImag; + return false; + } + + //resample for FFT, if necessary + tmpReal->Resample(w,h,0); + tmpImag->Resample(w,h,0); + + //ok, here we have 2 (w x h), grayscale images ready for a FFT + + double* real; + double* imag; + int32_t j,k,m; + + _complex **grid; + //double mean = tmpReal->Mean(); + /* Allocate memory for the grid */ + grid = (_complex **)malloc(w * sizeof(_complex)); + for (k=0;kGetPixelIndex(k,j)-128; + grid[k][j].y = tmpImag->GetPixelIndex(k,j)-128; + } + } + + //DFT buffers + double *real2,*imag2; + real2 = (double*)malloc(max(w,h) * sizeof(double)); + imag2 = (double*)malloc(max(w,h) * sizeof(double)); + + /* Transform the rows */ + real = (double *)malloc(w * sizeof(double)); + imag = (double *)malloc(w * sizeof(double)); + + m=0; + while((1<SetPixelIndex(k,j,(uint8_t)max(0,min(255,(nn*(3+log(_cabs(grid[k][j]))))))); + if (grid[k][j].x==0){ + tmpImag->SetPixelIndex(k,j,(uint8_t)max(0,min(255,(128+(atan(grid[k][j].y/0.0000000001)*nn))))); + } else { + tmpImag->SetPixelIndex(k,j,(uint8_t)max(0,min(255,(128+(atan(grid[k][j].y/grid[k][j].x)*nn))))); + } + } else { + tmpReal->SetPixelIndex(k,j,(uint8_t)max(0,min(255,(128 + grid[k][j].x*nn)))); + tmpImag->SetPixelIndex(k,j,(uint8_t)max(0,min(255,(128 + grid[k][j].y*nn)))); + } + } + } + + for (k=0;k> 1; + j = 0; + for (i=0;i>= 1; + } + j += k; + } + + /* Compute the FFT */ + c1 = -1.0; + c2 = 0.0; + l2 = 1; + for (l=0;lGetWidth(); + int32_t h = r->GetHeight(); + + Create(w,h,24); + + g->Resample(w,h); + b->Resample(w,h); + + if (a) { + a->Resample(w,h); +#if CXIMAGE_SUPPORT_ALPHA + AlphaCreate(); +#endif //CXIMAGE_SUPPORT_ALPHA + } + + RGBQUAD c; + for (int32_t y=0;y + for (int32_t x=0;xGetPixelIndex(x,y); + c.rgbGreen=g->GetPixelIndex(x,y); + c.rgbBlue=b->GetPixelIndex(x,y); + switch (colorspace){ + case 1: + BlindSetPixelColor(x,y,HSLtoRGB(c)); + break; + case 2: + BlindSetPixelColor(x,y,YUVtoRGB(c)); + break; + case 3: + BlindSetPixelColor(x,y,YIQtoRGB(c)); + break; + case 4: + BlindSetPixelColor(x,y,XYZtoRGB(c)); + break; + default: + BlindSetPixelColor(x,y,c); + } +#if CXIMAGE_SUPPORT_ALPHA + if (a) AlphaSet(x,y,a->GetPixelIndex(x,y)); +#endif //CXIMAGE_SUPPORT_ALPHA + } + } + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Smart blurring to remove small defects, dithering or artifacts. + * \param radius: normally between 0.01 and 0.5 + * \param niterations: should be trimmed with radius, to avoid blurring should be (radius*niterations)<1 + * \param colorspace: 0 = RGB, 1 = HSL, 2 = YUV, 3 = YIQ, 4 = XYZ + * \return true if everything is ok + */ +bool CxImage::Repair(float radius, int32_t niterations, int32_t colorspace) +{ + if (!IsValid()) return false; + + int32_t w = GetWidth(); + int32_t h = GetHeight(); + + CxImage r,g,b; + + r.Create(w,h,8); + g.Create(w,h,8); + b.Create(w,h,8); + + switch (colorspace){ + case 1: + SplitHSL(&r,&g,&b); + break; + case 2: + SplitYUV(&r,&g,&b); + break; + case 3: + SplitYIQ(&r,&g,&b); + break; + case 4: + SplitXYZ(&r,&g,&b); + break; + default: + SplitRGB(&r,&g,&b); + } + + for (int32_t i=0; iGetWidth()-1; + int32_t h = ch->GetHeight()-1; + + double correction,ix,iy,ixx,ixy,iyy; + int32_t x,y,xy0,xp1,xm1,yp1,ym1; + + for(x=1; xBlindGetPixelIndex(x,y); + xm1 = ch->BlindGetPixelIndex(x-1,y); + xp1 = ch->BlindGetPixelIndex(x+1,y); + ym1 = ch->BlindGetPixelIndex(x,y-1); + yp1 = ch->BlindGetPixelIndex(x,y+1); + + ix= (xp1-xm1)/2.0; + iy= (yp1-ym1)/2.0; + ixx= xp1 - 2.0 * xy0 + xm1; + iyy= yp1 - 2.0 * xy0 + ym1; + ixy=(ch->BlindGetPixelIndex(x+1,y+1) + ch->BlindGetPixelIndex(x-1,y-1) - + ch->BlindGetPixelIndex(x-1,y+1) - ch->BlindGetPixelIndex(x+1,y-1))/4.0; + + correction = ((1.0+iy*iy)*ixx - ix*iy*ixy + (1.0+ix*ix)*iyy)/(1.0+ix*ix+iy*iy); + + tmp.BlindSetPixelIndex(x,y,(uint8_t)min(255,max(0,(xy0 + radius * correction + 0.5)))); + } + } + + for (x=0;x<=w;x++){ + for(y=0; y<=h; y+=h){ + xy0 = ch->BlindGetPixelIndex(x,y); + xm1 = ch->GetPixelIndex(x-1,y); + xp1 = ch->GetPixelIndex(x+1,y); + ym1 = ch->GetPixelIndex(x,y-1); + yp1 = ch->GetPixelIndex(x,y+1); + + ix= (xp1-xm1)/2.0; + iy= (yp1-ym1)/2.0; + ixx= xp1 - 2.0 * xy0 + xm1; + iyy= yp1 - 2.0 * xy0 + ym1; + ixy=(ch->GetPixelIndex(x+1,y+1) + ch->GetPixelIndex(x-1,y-1) - + ch->GetPixelIndex(x-1,y+1) - ch->GetPixelIndex(x+1,y-1))/4.0; + + correction = ((1.0+iy*iy)*ixx - ix*iy*ixy + (1.0+ix*ix)*iyy)/(1.0+ix*ix+iy*iy); + + tmp.BlindSetPixelIndex(x,y,(uint8_t)min(255,max(0,(xy0 + radius * correction + 0.5)))); + } + } + for (x=0;x<=w;x+=w){ + for (y=0;y<=h;y++){ + xy0 = ch->BlindGetPixelIndex(x,y); + xm1 = ch->GetPixelIndex(x-1,y); + xp1 = ch->GetPixelIndex(x+1,y); + ym1 = ch->GetPixelIndex(x,y-1); + yp1 = ch->GetPixelIndex(x,y+1); + + ix= (xp1-xm1)/2.0; + iy= (yp1-ym1)/2.0; + ixx= xp1 - 2.0 * xy0 + xm1; + iyy= yp1 - 2.0 * xy0 + ym1; + ixy=(ch->GetPixelIndex(x+1,y+1) + ch->GetPixelIndex(x-1,y-1) - + ch->GetPixelIndex(x-1,y+1) - ch->GetPixelIndex(x+1,y-1))/4.0; + + correction = ((1.0+iy*iy)*ixx - ix*iy*ixy + (1.0+ix*ix)*iyy)/(1.0+ix*ix+iy*iy); + + tmp.BlindSetPixelIndex(x,y,(uint8_t)min(255,max(0,(xy0 + radius * correction + 0.5)))); + } + } + + ch->Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Enhance the variations between adjacent pixels. + * Similar results can be achieved using Filter(), + * but the algorithms are different both in Edge() and in Contour(). + * \return true if everything is ok + */ +bool CxImage::Contour() +{ + if (!pDib) return false; + + int32_t Ksize = 3; + int32_t k2 = Ksize/2; + int32_t kmax= Ksize-k2; + int32_t i,j,k; + uint8_t maxr,maxg,maxb; + RGBQUAD pix1,pix2; + + CxImage tmp(*this); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; ymaxb) maxb = pix2.rgbBlue; + if ((pix2.rgbGreen-pix1.rgbGreen)>maxg) maxg = pix2.rgbGreen; + if ((pix2.rgbRed-pix1.rgbRed)>maxr) maxr = pix2.rgbRed; + } + } + pix1.rgbBlue=(uint8_t)(255-maxb); + pix1.rgbGreen=(uint8_t)(255-maxg); + pix1.rgbRed=(uint8_t)(255-maxr); + tmp.BlindSetPixelColor(x,y,pix1); + } + } + } + Transfer(tmp); + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * Adds a random offset to each pixel in the image + * \param radius: maximum pixel displacement + * \return true if everything is ok + */ +bool CxImage::Jitter(int32_t radius) +{ + if (!pDib) return false; + + int32_t nx,ny; + + CxImage tmp(*this); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + for(int32_t y=ymin; y modified scaling, so that matrix_lenght = 1+2*radius parameter + */ + radius = (float)fabs(0.5*radius) + 0.25f; + + std_dev = radius; + radius = std_dev * 2; + + /* go out 'radius' in each direction */ + matrix_length = int32_t (2 * ceil(radius-0.5) + 1); + if (matrix_length <= 0) matrix_length = 1; + matrix_midpoint = matrix_length/2 + 1; + *cmatrix_p = new float[matrix_length]; + cmatrix = *cmatrix_p; + + /* Now we fill the matrix by doing a numeric integration approximation + * from -2*std_dev to 2*std_dev, sampling 50 points per pixel. + * We do the bottom half, mirror it to the top half, then compute the + * center point. Otherwise asymmetric quantization errors will occur. + * The formula to integrate is e^-(x^2/2s^2). + */ + + /* first we do the top (right) half of matrix */ + for (i = matrix_length/2 + 1; i < matrix_length; i++) + { + float base_x = i - (float)floor((float)(matrix_length/2)) - 0.5f; + sum = 0; + for (j = 1; j <= 50; j++) + { + if ( base_x+0.02*j <= radius ) + sum += (float)exp (-(base_x+0.02*j)*(base_x+0.02*j) / + (2*std_dev*std_dev)); + } + cmatrix[i] = sum/50; + } + + /* mirror the thing to the bottom half */ + for (i=0; i<=matrix_length/2; i++) { + cmatrix[i] = cmatrix[matrix_length-1-i]; + } + + /* find center val -- calculate an odd number of quanta to make it symmetric, + * even if the center point is weighted slightly higher than others. */ + sum = 0; + for (j=0; j<=50; j++) + { + sum += (float)exp (-(0.5+0.02*j)*(0.5+0.02*j) / + (2*std_dev*std_dev)); + } + cmatrix[matrix_length/2] = sum/51; + + /* normalize the distribution by scaling the total sum to one */ + sum=0; + for (i=0; i y) + { + for (row = 0; row < y ; row++) + { + scale=0; + /* find the scale factor */ + for (j = 0; j < y ; j++) + { + /* if the index is in bounds, add it to the scale counter */ + if ((j + cmatrix_middle - row >= 0) && + (j + cmatrix_middle - row < cmatrix_length)) + scale += cmatrix[j + cmatrix_middle - row]; + } + for (i = 0; i= row - cmatrix_middle) && + (j <= row + cmatrix_middle)) + sum += cur_col[j*bytes + i] * cmatrix[j]; + } + dest_col[row*bytes + i] = (uint8_t)(0.5f + sum / scale); + } + } + } + else + { + /* for the edge condition, we only use available info and scale to one */ + for (row = 0; row < cmatrix_middle; row++) + { + /* find scale factor */ + scale=0; + for (j = cmatrix_middle - row; j0; j--) + { + sum += *(ctable_p + *cur_col_p1); + cur_col_p1 += bytes; + ctable_p += 256; + } + cur_col_p++; + *(dest_col_p++) = (uint8_t)(0.5f + sum); + } + } + + /* for the edge condition , we only use available info, and scale to one */ + for (; row < y; row++) + { + /* find scale factor */ + scale=0; + for (j = 0; j< y-row + cmatrix_middle; j++) + scale += cmatrix[j]; + for (i = 0; ihead.biWidth; + ymax = iSrc->head.biHeight; + + if (xmin==xmax || ymin==ymax) return; + + nmin = xmin * bytes; + nmax = xmax * bytes; + + CImageIterator itSrc(iSrc); + CImageIterator itTmp(iDst); + + double dbScaler = 100.0f/(ymax-ymin)/bytes; + + for (n=0; n=pivot){ + while (z1) ? ((m/bytes)/decay+1) : m/bytes; + if (m>max_depth) m = max_depth; + step = (uint8_t)((pSrc[x+bytes]-pSrc[x])/(m+1)); + while (m-->1){ + pDst[x+m*bytes] = (uint8_t)(pDst[x]+(step*(m+1))); + } + } + //find lower corner + z=x+bytes; + if (pSrc[x]=pivot){ + while (z1) ? ((m/bytes)/decay+1) : m/bytes; + if (m>max_depth) m = max_depth; + step = (uint8_t)((pSrc[x+bytes]-pSrc[x])/(m+1)); + while (m-->1){ + pDst[x+m*bytes] = (uint8_t)(pDst[x]+(step*(m+1))); + } + } + } + //scan right to left + for (x=nmax-1-n /*,i=(xmax-1)*/; x>0; x-=bytes /*,i--*/) + { + z=x-bytes; + pivot = pSrc[z]-threshold; + //find upper corner + if (pSrc[x]=pivot){ + while (z>n && pSrc2[z]1) ? ((m/bytes)/decay+1) : m/bytes; + if (m>max_depth) m = max_depth; + step = (uint8_t)((pSrc[x-bytes]-pSrc[x])/(m+1)); + while (m-->1){ + pDst[x-m*bytes] = (uint8_t)(pDst[x]+(step*(m+1))); + } + } + //find lower corner + z=x-bytes; + if (pSrc[x]=pivot){ + while (z>n && pSrc3[z]1) ? ((m/bytes)/decay+1) : m/bytes; + if (m>max_depth) m = max_depth; + step = (uint8_t)((pSrc[x-bytes]-pSrc[x])/(m+1)); + while (m-->1){ + pDst[x-m*bytes] = (uint8_t)(pDst[x]+(step*(m+1))); + } + } + } + } + } +} +//////////////////////////////////////////////////////////////////////////////// +/** + * \author [DP] + */ +bool CxImage::TextBlur(uint8_t threshold, uint8_t decay, uint8_t max_depth, bool bBlurHorizontal, bool bBlurVertical, CxImage* iDst) +{ + if (!pDib) return false; + + RGBQUAD* pPalette=NULL; + uint16_t bpp = GetBpp(); + + //the routine is optimized for RGB or GrayScale images + if (!(head.biBitCount == 24 || IsGrayScale())){ + pPalette = new RGBQUAD[head.biClrUsed]; + memcpy(pPalette, GetPalette(),GetPaletteSize()); + if (!IncreaseBpp(24)) + return false; + } + + CxImage tmp(*this); + if (!tmp.IsValid()){ + strcpy(info.szLastError,tmp.GetLastError()); + return false; + } + + if (bBlurHorizontal) + blur_text(threshold, decay, max_depth, this, &tmp, head.biBitCount>>3); + + if (bBlurVertical){ + CxImage src2(*this); + src2.RotateLeft(); + tmp.RotateLeft(); + blur_text(threshold, decay, max_depth, &src2, &tmp, head.biBitCount>>3); + tmp.RotateRight(); + } + +#if CXIMAGE_SUPPORT_SELECTION + //restore the non selected region + if (pSelection){ + for(int32_t y=0; yTransfer(tmp); + else Transfer(tmp); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * \author [nipper]; changes [DP] + */ +bool CxImage::GaussianBlur(float radius /*= 1.0f*/, CxImage* iDst /*= 0*/) +{ + if (!pDib) return false; + + RGBQUAD* pPalette=NULL; + uint16_t bpp = GetBpp(); + + //the routine is optimized for RGB or GrayScale images + if (!(head.biBitCount == 24 || IsGrayScale())){ + pPalette = new RGBQUAD[head.biClrUsed]; + memcpy(pPalette, GetPalette(),GetPaletteSize()); + if (!IncreaseBpp(24)) + return false; + } + + CxImage tmp_x(*this, false, true, true); + if (!tmp_x.IsValid()){ + strcpy(info.szLastError,tmp_x.GetLastError()); + return false; + } + + // generate convolution matrix and make sure it's smaller than each dimension + float *cmatrix = NULL; + int32_t cmatrix_length = gen_convolve_matrix(radius, &cmatrix); + // generate lookup table + float *ctable = gen_lookup_table(cmatrix, cmatrix_length); + + int32_t x,y; + int32_t bypp = head.biBitCount>>3; + + CImageIterator itSrc(this); + CImageIterator itTmp(&tmp_x); + + double dbScaler = 50.0f/head.biHeight; + + // blur the rows + for (y=0;yTransfer(tmp_y); + else Transfer(tmp_y); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * \author [DP],[nipper] + */ +bool CxImage::SelectiveBlur(float radius, uint8_t threshold, CxImage* iDst) +{ + if (!pDib) return false; + + RGBQUAD* pPalette=NULL; + uint16_t bpp = GetBpp(); + + CxImage Tmp(*this, true, true, true); + if (!Tmp.IsValid()){ + strcpy(info.szLastError,Tmp.GetLastError()); + return false; + } + + //the routine is optimized for RGB or GrayScale images + if (!(head.biBitCount == 24 || IsGrayScale())){ + pPalette = new RGBQUAD[head.biClrUsed]; + memcpy(pPalette, GetPalette(),GetPaletteSize()); + if (!Tmp.IncreaseBpp(24)){ + delete [] pPalette; + return false; + } + } + + CxImage Dst(Tmp, true, true, true); + if (!Dst.IsValid()){ + strcpy(info.szLastError,Dst.GetLastError()); + delete [] pPalette; + return false; + } + + //build the difference mask + uint8_t thresh_dw = (uint8_t)max( 0 ,(int32_t)(128 - threshold)); + uint8_t thresh_up = (uint8_t)min(255,(int32_t)(128 + threshold)); + int32_t kernel[]={-100,-100,-100,-100,801,-100,-100,-100,-100}; + if (!Tmp.Filter(kernel,3,800,128)){ + strcpy(info.szLastError,Tmp.GetLastError()); + delete [] pPalette; + return false; + } + + //if the image has no selection, build a selection for the whole image +#if CXIMAGE_SUPPORT_SELECTION + if (!Tmp.SelectionIsValid()){ + Tmp.SelectionCreate(); + Tmp.SelectionClear(255); + } + + int32_t xmin,xmax,ymin,ymax; + xmin = Tmp.info.rSelectionBox.left; + xmax = Tmp.info.rSelectionBox.right; + ymin = Tmp.info.rSelectionBox.bottom; + ymax = Tmp.info.rSelectionBox.top; + + //modify the selection where the difference mask is over the threshold + for(int32_t y=ymin; y thresh_up) || + (c.rgbGreen < thresh_dw || c.rgbGreen > thresh_up) || + (c.rgbBlue < thresh_dw || c.rgbBlue > thresh_up)) + { + Tmp.SelectionSet(x,y,0); + } + } + } + } + + //blur the image (only in the selected pixels) + Dst.SelectionCopy(Tmp); + if (!Dst.GaussianBlur(radius)){ + strcpy(info.szLastError,Dst.GetLastError()); + delete [] pPalette; + return false; + } + + //restore the original selection + Dst.SelectionCopy(*this); +#endif //CXIMAGE_SUPPORT_SELECTION + + //if necessary, restore the original BPP and palette + if (pPalette){ + Dst.DecreaseBpp(bpp, false, pPalette); + delete [] pPalette; + } + + if (iDst) iDst->Transfer(Dst); + else Transfer(Dst); + + return true; +} +//////////////////////////////////////////////////////////////////////////////// +/** + * sharpen the image by subtracting a blurred copy from the original image. + * \param radius: width in pixels of the blurring effect. Range: >0; default = 5. + * \param amount: strength of the filter. Range: 0.0 (none) to 1.0 (max); default = 0.5 + * \param threshold: difference, between blurred and original pixel, to trigger the filter + * Range: 0 (always triggered) to 255 (never triggered); default = 0. + * \return true if everything is ok + * \author [nipper]; changes [DP] + */ +bool CxImage::UnsharpMask(float radius /*= 5.0*/, float amount /*= 0.5*/, int32_t threshold /*= 0*/) +{ + if (!pDib) return false; + + RGBQUAD* pPalette=NULL; + uint16_t bpp = GetBpp(); + + //the routine is optimized for RGB or GrayScale images + if (!(head.biBitCount == 24 || IsGrayScale())){ + pPalette = new RGBQUAD[head.biClrUsed]; + memcpy(pPalette, GetPalette(),GetPaletteSize()); + if (!IncreaseBpp(24)) + return false; + } + + CxImage iDst; + if (!GaussianBlur(radius,&iDst)) + return false; + + CImageIterator itSrc(this); + CImageIterator itDst(&iDst); + + int32_t xmin,xmax,ymin,ymax; + if (pSelection){ + xmin = info.rSelectionBox.left; xmax = info.rSelectionBox.right; + ymin = info.rSelectionBox.bottom; ymax = info.rSelectionBox.top; + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + if (xmin==xmax || ymin==ymax) + return false; + + double dbScaler = 100.0/(ymax-ymin); + int32_t bypp = head.biBitCount>>3; + + // merge the source and destination (which currently contains + // the blurred version) images + for (int32_t y=ymin; y + for(int32_t x=xmin; x1.0f) strength = 1.0f; + + for(int32_t y=ymin; ylevel){ + BlindSetPixelIndex(x,y,255-index); + } + } + } + } + } else { //PALETTE, full image + RGBQUAD* ppal=GetPalette(); + for(uint32_t i=0;ilevel){ + ppal[i].rgbBlue =(uint8_t)(255-ppal[i].rgbBlue); + ppal[i].rgbGreen =(uint8_t)(255-ppal[i].rgbGreen); + ppal[i].rgbRed =(uint8_t)(255-ppal[i].rgbRed); + } + } else { + if (color.rgbBlue>level) ppal[i].rgbBlue =(uint8_t)(255-ppal[i].rgbBlue); + if (color.rgbGreen>level) ppal[i].rgbGreen =(uint8_t)(255-ppal[i].rgbGreen); + if (color.rgbRed>level) ppal[i].rgbRed =(uint8_t)(255-ppal[i].rgbRed); + } + } + } + } else { //RGB, selection + for(int32_t y=ymin; ylevel){ + color.rgbRed = (uint8_t)(255-color.rgbRed); + color.rgbGreen = (uint8_t)(255-color.rgbGreen); + color.rgbBlue = (uint8_t)(255-color.rgbBlue); + } + } else { + if (color.rgbBlue>level) color.rgbBlue =(uint8_t)(255-color.rgbBlue); + if (color.rgbGreen>level) color.rgbGreen =(uint8_t)(255-color.rgbGreen); + if (color.rgbRed>level) color.rgbRed =(uint8_t)(255-color.rgbRed); + } + BlindSetPixelColor(x,y,color); + } + } + } + } + + //invert transparent color only in case of full image processing + if (pSelection==0 || (!IsGrayScale() && IsIndexed())){ + if (bLinkedChannels){ + if ((uint8_t)RGB2GRAY(info.nBkgndColor.rgbRed,info.nBkgndColor.rgbGreen,info.nBkgndColor.rgbBlue)>level){ + info.nBkgndColor.rgbBlue = (uint8_t)(255-info.nBkgndColor.rgbBlue); + info.nBkgndColor.rgbGreen = (uint8_t)(255-info.nBkgndColor.rgbGreen); + info.nBkgndColor.rgbRed = (uint8_t)(255-info.nBkgndColor.rgbRed); + } + } else { + if (info.nBkgndColor.rgbBlue>level) info.nBkgndColor.rgbBlue = (uint8_t)(255-info.nBkgndColor.rgbBlue); + if (info.nBkgndColor.rgbGreen>level) info.nBkgndColor.rgbGreen = (uint8_t)(255-info.nBkgndColor.rgbGreen); + if (info.nBkgndColor.rgbRed>level) info.nBkgndColor.rgbRed = (uint8_t)(255-info.nBkgndColor.rgbRed); + } + } + + return true; +} + +//////////////////////////////////////////////////////////////////////////////// +/** + * Converts the RGB triplets to and from different colorspace + * \param dstColorSpace: destination colorspace; 0 = RGB, 1 = HSL, 2 = YUV, 3 = YIQ, 4 = XYZ + * \param srcColorSpace: source colorspace; 0 = RGB, 1 = HSL, 2 = YUV, 3 = YIQ, 4 = XYZ + * \return true if everything is ok + */ +bool CxImage::ConvertColorSpace(const int32_t dstColorSpace, const int32_t srcColorSpace) +{ + if (!pDib) + return false; + + if (dstColorSpace == srcColorSpace) + return true; + + int32_t w = GetWidth(); + int32_t h = GetHeight(); + + for (int32_t y=0;yIsValid() || + !pContrastMask->IsGrayScale() || + pContrastMask->GetWidth() != GetWidth() || + pContrastMask->GetHeight() != GetHeight()){ + strcpy(info.szLastError,"OptimalThreshold invalid ContrastMask"); + return -1; + } + } + + int32_t xmin,xmax,ymin,ymax; + if (pBox){ + xmin = max(pBox->left,0); + xmax = min(pBox->right,head.biWidth); + ymin = max(pBox->bottom,0); + ymax = min(pBox->top,head.biHeight); + } else { + xmin = ymin = 0; + xmax = head.biWidth; ymax=head.biHeight; + } + + if (xmin>=xmax || ymin>=ymax) + return -1; + + double p[256]; + memset(p, 0, 256*sizeof(double)); + //build histogram + for (int32_t y = ymin; yGetBits(y) + xmin; + for (int32_t x = xmin; x0 && p[gray_max]==0) gray_max--; + if (gray_min > gray_max) + return -1; + if (gray_min == gray_max){ + if (gray_min == 0) + return 0; + else + return gray_max-1; + } + + //compute total moments 0th,1st,2nd order + int32_t i,k; + double w_tot = 0; + double m_tot = 0; + double q_tot = 0; + for (i = gray_min; i <= gray_max; i++){ + w_tot += p[i]; + m_tot += i*p[i]; + q_tot += i*i*p[i]; + } + + double L, L1max, L2max, L3max, L4max; //objective functions + int32_t th1,th2,th3,th4; //optimal thresholds + L1max = L2max = L3max = L4max = 0; + th1 = th2 = th3 = th4 = -1; + + double w1, w2, m1, m2, q1, q2, s1, s2; + w1 = m1 = q1 = 0; + for (i = gray_min; i < gray_max; i++){ + w1 += p[i]; + w2 = w_tot - w1; + m1 += i*p[i]; + m2 = m_tot - m1; + q1 += i*i*p[i]; + q2 = q_tot - q1; + s1 = q1/w1-m1*m1/w1/w1; //s1 = q1/w1-pow(m1/w1,2); + s2 = q2/w2-m2*m2/w2/w2; //s2 = q2/w2-pow(m2/w2,2); + + //Otsu + L = -(s1*w1 + s2*w2); //implemented as definition + //L = w1 * w2 * (m2/w2 - m1/w1)*(m2/w2 - m1/w1); //implementation that doesn't need s1 & s2 + if (L1max < L || th1<0){ + L1max = L; + th1 = i; + } + + //Kittler and Illingworth + if (s1>0 && s2>0){ + L = w1*log(w1/sqrt(s1))+w2*log(w2/sqrt(s2)); + //L = w1*log(w1*w1/s1)+w2*log(w2*w2/s2); + if (L2max < L || th2<0){ + L2max = L; + th2 = i; + } + } + + //max entropy + L = 0; + for (k=gray_min;k<=i;k++) if (p[k] > 0) L -= p[k]*log(p[k]/w1)/w1; + for (k;k<=gray_max;k++) if (p[k] > 0) L -= p[k]*log(p[k]/w2)/w2; + if (L3max < L || th3<0){ + L3max = L; + th3 = i; + } + + //potential difference (based on Electrostatic Binarization method by J. Acharya & G. Sreechakra) + // L=-fabs(vdiff/vsum); è molto selettivo, sembra che L=-fabs(vdiff) o L=-(vsum) + // abbiano lo stesso valore di soglia... il che semplificherebbe molto la routine + double vdiff = 0; + for (k=gray_min;k<=i;k++) + vdiff += p[k]*(i-k)*(i-k); + double vsum = vdiff; + for (k;k<=gray_max;k++){ + double dv = p[k]*(k-i)*(k-i); + vdiff -= dv; + vsum += dv; + } + if (vsum>0) L = -fabs(vdiff/vsum); else L = 0; + if (L4max < L || th4<0){ + L4max = L; + th4 = i; + } + } + + int32_t threshold; + switch (method){ + case 1: //Otsu + threshold = th1; + break; + case 2: //Kittler and Illingworth + threshold = th2; + break; + case 3: //max entropy + threshold = th3; + break; + case 4: //potential difference + threshold = th4; + break; + default: //auto + { + int32_t nt = 0; + threshold = 0; + if (th1>=0) { threshold += th1; nt++;} + if (th2>=0) { threshold += th2; nt++;} + if (th3>=0) { threshold += th3; nt++;} + if (th4>=0) { threshold += th4; nt++;} + if (nt) + threshold /= nt; + else + threshold = (gray_min+gray_max)/2; + + /*better(?) but really expensive alternative: + n = 0:255; + pth1 = c1(th1)/sqrt(2*pi*s1(th1))*exp(-((n - m1(th1)).^2)/2/s1(th1)) + c2(th1)/sqrt(2*pi*s2(th1))*exp(-((n - m2(th1)).^2)/2/s2(th1)); + pth2 = c1(th2)/sqrt(2*pi*s1(th2))*exp(-((n - m1(th2)).^2)/2/s1(th2)) + c2(th2)/sqrt(2*pi*s2(th2))*exp(-((n - m2(th2)).^2)/2/s2(th2)); + ... + mse_th1 = sum((p-pth1).^2); + mse_th2 = sum((p-pth2).^2); + ... + select th# that gives minimum mse_th# + */ + + } + } + + if (threshold <= gray_min || threshold >= gray_max) + threshold = (gray_min+gray_max)/2; + + return threshold; +} +/////////////////////////////////////////////////////////////////////////////// +/** + * Converts the image to B&W, using an optimal threshold mask + * \param method: 0 = average all methods (default); 1 = Otsu; 2 = Kittler & Illingworth; 3 = max entropy; 4 = potential difference; + * \param nBoxSize: the image is divided into "nBoxSize x nBoxSize" blocks, from where the threshold is computed; min = 8; default = 64. + * \param pContrastMask: limit the computation only in regions with contrasted (!=0) pixels; default = 0. + * \param nBias: global offset added to the threshold mask; default = 0. + * \param fGlobalLocalBalance: balance between local and global threshold. default = 0.5 + * fGlobalLocalBalance can be from 0.0 (use only local threshold) to 1.0 (use only global threshold) + * the pContrastMask image must be grayscale with same with and height of the current image, + * \return true if everything is ok. + * \sa OptimalThreshold + */ +bool CxImage::AdaptiveThreshold(int32_t method, int32_t nBoxSize, CxImage* pContrastMask, int32_t nBias, float fGlobalLocalBalance) +{ + if (!pDib) + return false; + + if (pContrastMask){ + if (!pContrastMask->IsValid() || + !pContrastMask->IsGrayScale() || + pContrastMask->GetWidth() != GetWidth() || + pContrastMask->GetHeight() != GetHeight()){ + strcpy(info.szLastError,"AdaptiveThreshold invalid ContrastMask"); + return false; + } + } + + if (nBoxSize<8) nBoxSize = 8; + if (fGlobalLocalBalance<0.0f) fGlobalLocalBalance = 0.0f; + if (fGlobalLocalBalance>1.0f) fGlobalLocalBalance = 1.0f; + + int32_t mw = (head.biWidth + nBoxSize - 1)/nBoxSize; + int32_t mh = (head.biHeight + nBoxSize - 1)/nBoxSize; + + CxImage mask(mw,mh,8); + if(!mask.GrayScale()) + return false; + + if(!GrayScale()) + return false; + + int32_t globalthreshold = OptimalThreshold(method, 0, pContrastMask); + if (globalthreshold <0) + return false; + + for (int32_t y=0; y=0 && !bFindStartPoint;y--){ + info.nProgress = (int32_t)(100*y/head.biHeight); + if (info.nEscape) break; + for (x=0;x +//////////////////////////////////////////////////////////////////////////////// +/** + * Flood Fill + * \param xStart, yStart: starting point + * \param cFillColor: filling color + * \param nTolerance: deviation from the starting point color + * \param nOpacity: can be from 0 (transparent) to 255 (opaque, default) + * \param bSelectFilledArea: if true, the pixels in the region are also set in the selection layer; default = false + * \param nSelectionLevel: if bSelectFilledArea is true, the selected pixels are set to nSelectionLevel; default = 255 + * Note: nOpacity=0 && bSelectFilledArea=true act as a "magic wand" + * \return true if everything is ok + */ +bool CxImage::FloodFill(const int32_t xStart, const int32_t yStart, const RGBQUAD cFillColor, const uint8_t nTolerance, + uint8_t nOpacity, const bool bSelectFilledArea, const uint8_t nSelectionLevel) +{ + if (!pDib) + return false; + + if (!IsInside(xStart,yStart)) + return true; + +#if CXIMAGE_SUPPORT_SELECTION + if (!SelectionIsInside(xStart,yStart)) + return true; +#endif //CXIMAGE_SUPPORT_SELECTION + + RGBQUAD* pPalette=NULL; + uint16_t bpp = GetBpp(); + //nTolerance or nOpacity implemented only for grayscale or 24bpp images + if ((nTolerance || nOpacity != 255) && !(head.biBitCount == 24 || IsGrayScale())){ + pPalette = new RGBQUAD[head.biClrUsed]; + memcpy(pPalette, GetPalette(),GetPaletteSize()); + if (!IncreaseBpp(24)) + return false; + } + + uint8_t* pFillMask = (uint8_t*)calloc(head.biWidth * head.biHeight,1); + if (!pFillMask) + return false; + +//------------------------------------- Begin of Flood Fill + POINT offset[4] = {{-1,0},{0,-1},{1,0},{0,1}}; + std::queue q; + POINT point = {xStart,yStart}; + q.push(point); + + if (IsIndexed()){ //--- Generic indexed image, no tolerance OR Grayscale image with tolerance + uint8_t idxRef = GetPixelIndex(xStart,yStart); + uint8_t idxFill = GetNearestIndex(cFillColor); + uint8_t idxMin = (uint8_t)min(255, max(0,(int32_t)(idxRef - nTolerance))); + uint8_t idxMax = (uint8_t)min(255, max(0,(int32_t)(idxRef + nTolerance))); + + while(!q.empty()) + { + point = q.front(); + q.pop(); + + for (int32_t z=0; z<4; z++){ + int32_t x = point.x + offset[z].x; + int32_t y = point.y + offset[z].y; + if(IsInside(x,y)){ +#if CXIMAGE_SUPPORT_SELECTION + if (BlindSelectionIsInside(x,y)) +#endif //CXIMAGE_SUPPORT_SELECTION + { + uint8_t idx = BlindGetPixelIndex(x, y); + uint8_t* pFill = pFillMask + x + y * head.biWidth; + if (*pFill==0 && idxMin <= idx && idx <= idxMax ) + { + if (nOpacity>0){ + if (nOpacity == 255) + BlindSetPixelIndex(x, y, idxFill); + else + BlindSetPixelIndex(x, y, (uint8_t)((idxFill * nOpacity + idx * (255-nOpacity))>>8)); + } + POINT pt = {x,y}; + q.push(pt); + *pFill = 1; + } + } + } + } + } + } else { //--- RGB image + RGBQUAD cRef = GetPixelColor(xStart,yStart); + RGBQUAD cRefMin, cRefMax; + cRefMin.rgbRed = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbRed - nTolerance))); + cRefMin.rgbGreen = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbGreen - nTolerance))); + cRefMin.rgbBlue = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbBlue - nTolerance))); + cRefMax.rgbRed = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbRed + nTolerance))); + cRefMax.rgbGreen = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbGreen + nTolerance))); + cRefMax.rgbBlue = (uint8_t)min(255, max(0,(int32_t)(cRef.rgbBlue + nTolerance))); + + while(!q.empty()) + { + point = q.front(); + q.pop(); + + for (int32_t z=0; z<4; z++){ + int32_t x = point.x + offset[z].x; + int32_t y = point.y + offset[z].y; + if(IsInside(x,y)){ +#if CXIMAGE_SUPPORT_SELECTION + if (BlindSelectionIsInside(x,y)) +#endif //CXIMAGE_SUPPORT_SELECTION + { + RGBQUAD cc = BlindGetPixelColor(x, y); + uint8_t* pFill = pFillMask + x + y * head.biWidth; + if (*pFill==0 && + cRefMin.rgbRed <= cc.rgbRed && cc.rgbRed <= cRefMax.rgbRed && + cRefMin.rgbGreen <= cc.rgbGreen && cc.rgbGreen <= cRefMax.rgbGreen && + cRefMin.rgbBlue <= cc.rgbBlue && cc.rgbBlue <= cRefMax.rgbBlue ) + { + if (nOpacity>0){ + if (nOpacity == 255) + BlindSetPixelColor(x, y, cFillColor); + else + { + cc.rgbRed = (uint8_t)((cFillColor.rgbRed * nOpacity + cc.rgbRed * (255-nOpacity))>>8); + cc.rgbGreen = (uint8_t)((cFillColor.rgbGreen * nOpacity + cc.rgbGreen * (255-nOpacity))>>8); + cc.rgbBlue = (uint8_t)((cFillColor.rgbBlue * nOpacity + cc.rgbBlue * (255-nOpacity))>>8); + BlindSetPixelColor(x, y, cc); + } + } + POINT pt = {x,y}; + q.push(pt); + *pFill = 1; + } + } + } + } + } + } + if (pFillMask[xStart+yStart*head.biWidth] == 0 && nOpacity>0){ + if (nOpacity == 255) + BlindSetPixelColor(xStart, yStart, cFillColor); + else + { + RGBQUAD cc = BlindGetPixelColor(xStart, yStart); + cc.rgbRed = (uint8_t)((cFillColor.rgbRed * nOpacity + cc.rgbRed * (255-nOpacity))>>8); + cc.rgbGreen = (uint8_t)((cFillColor.rgbGreen * nOpacity + cc.rgbGreen * (255-nOpacity))>>8); + cc.rgbBlue = (uint8_t)((cFillColor.rgbBlue * nOpacity + cc.rgbBlue * (255-nOpacity))>>8); + BlindSetPixelColor(xStart, yStart, cc); + } + } + pFillMask[xStart+yStart*head.biWidth] = 1; +//------------------------------------- End of Flood Fill + + //if necessary, restore the original BPP and palette + if (pPalette){ + DecreaseBpp(bpp, false, pPalette); + delete [] pPalette; + } + +#if CXIMAGE_SUPPORT_SELECTION + if (bSelectFilledArea){ + if (!SelectionIsValid()){ + if (!SelectionCreate()){ + return false; + } + SelectionClear(); + info.rSelectionBox.right = head.biWidth; + info.rSelectionBox.top = head.biHeight; + info.rSelectionBox.left = info.rSelectionBox.bottom = 0; + } + RECT r; + SelectionGetBox(r); + for (int32_t y = r.bottom; y < r.top; y++){ + uint8_t* pFill = pFillMask + r.left + y * head.biWidth; + for (int32_t x = r.left; x