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| author | FluorescentCIAAfricanAmerican <[email protected]> | 2020-04-22 12:56:21 -0400 |
|---|---|---|
| committer | FluorescentCIAAfricanAmerican <[email protected]> | 2020-04-22 12:56:21 -0400 |
| commit | 3bf9df6b2785fa6d951086978a3e66f49427166a (patch) | |
| tree | 2c0f1f0c63c4832882bc93814ebd2c2b1c6224e5 /mathlib/imagequant.cpp | |
| download | archived-source-engine-2018-hl2-src-master.tar.xz archived-source-engine-2018-hl2-src-master.zip | |
Diffstat (limited to 'mathlib/imagequant.cpp')
| -rw-r--r-- | mathlib/imagequant.cpp | 96 |
1 files changed, 96 insertions, 0 deletions
diff --git a/mathlib/imagequant.cpp b/mathlib/imagequant.cpp new file mode 100644 index 0000000..830ed55 --- /dev/null +++ b/mathlib/imagequant.cpp @@ -0,0 +1,96 @@ +//========= Copyright Valve Corporation, All rights reserved. ============// +// +// Purpose: +// +// $NoKeywords: $ +// +//=============================================================================// +#include <quantize.h> +#include <minmax.h> + +#define N_EXTRAVALUES 1 +#define N_DIMENSIONS (3+N_EXTRAVALUES) + +#define PIXEL(x,y,c) Image[4*((x)+((Width*(y))))+c] + +static uint8 Weights[]={5,7,4,8}; +static int ExtraValueXForms[3*N_EXTRAVALUES]={ + 76,151,28, +}; + + + +#define MAX_QUANTIZE_IMAGE_WIDTH 4096 + +void ColorQuantize(uint8 const *Image, + int Width, + int Height, + int flags, int ncolors, + uint8 *out_pixels, + uint8 *out_palette, + int firstcolor) +{ + int Error[MAX_QUANTIZE_IMAGE_WIDTH+1][3][2]; + struct Sample *s=AllocSamples(Width*Height,N_DIMENSIONS); + int x,y,c; + for(y=0;y<Height;y++) + for(x=0;x<Width;x++) + { + for(c=0;c<3;c++) + NthSample(s,y*Width+x,N_DIMENSIONS)->Value[c]=PIXEL(x,y,c); + // now, let's generate extra values to quantize on + for(int i=0;i<N_EXTRAVALUES;i++) + { + int val1=0; + for(c=0;c<3;c++) + val1+=PIXEL(x,y,c)*ExtraValueXForms[i*3+c]; + val1>>=8; + NthSample(s,y*Width+x,N_DIMENSIONS)->Value[c]=(uint8) + (min(255,max(0,val1))); + } + } + struct QuantizedValue *q=Quantize(s,Width*Height,N_DIMENSIONS, + ncolors,Weights,firstcolor); + delete[] s; + memset(out_palette,0x55,768); + for(int p=0;p<256;p++) + { + struct QuantizedValue *v=FindQNode(q,p); + if (v) + for(c=0;c<3;c++) + out_palette[p*3+c]=v->Mean[c]; + } + memset(Error,0,sizeof(Error)); + for(y=0;y<Height;y++) + { + int ErrorUse=y & 1; + int ErrorUpdate=ErrorUse^1; + for(x=0;x<Width;x++) + { + uint8 samp[3]; + for(c=0;c<3;c++) + { + int tryc=PIXEL(x,y,c); + if (! (flags & QUANTFLAGS_NODITHER)) + { + tryc+=Error[x][c][ErrorUse]; + Error[x][c][ErrorUse]=0; + } + samp[c]=(uint8) min(255,max(0,tryc)); + } + struct QuantizedValue *f=FindMatch(samp,3,Weights,q); + out_pixels[Width*y+x]=(uint8) (f->value); + if (! (flags & QUANTFLAGS_NODITHER)) + for(int i=0;i<3;i++) + { + int newerr=samp[i]-f->Mean[i]; + int orthog_error=(newerr*3)/8; + Error[x+1][i][ErrorUse]+=orthog_error; + Error[x][i][ErrorUpdate]=orthog_error; + Error[x+1][i][ErrorUpdate]=newerr-2*orthog_error; + } + } + } + if (q) FreeQuantization(q); +} + |