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csgo-2018-source/bitmap/resample.cpp
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2021-07-24 21:11:47 -07:00

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//======= Copyright © 1996-2005, Valve Corporation, All rights reserved. ======//
//
// Purpose:
//
//=============================================================================//
#include "nvtc.h"
#include "bitmap/imageformat.h"
#include "basetypes.h"
#include "tier0/dbg.h"
#ifndef _PS3
#include <malloc.h>
#include <memory.h>
#else
#include <stdlib.h>
#endif
#include "mathlib/mathlib.h"
#include "mathlib/vector.h"
#include "tier1/utlmemory.h"
#include "tier1/strtools.h"
#include "mathlib/compressed_vector.h"
// Should be last include
#include "tier0/memdbgon.h"
namespace ImageLoader
{
//-----------------------------------------------------------------------------
// Gamma correction
//-----------------------------------------------------------------------------
static void ConstructFloatGammaTable( float* pTable, float srcGamma, float dstGamma )
{
for( int i = 0; i < 256; i++ )
{
pTable[i] = 255.0 * pow( (float)i / 255.0f, srcGamma / dstGamma );
}
}
void ConstructGammaTable( unsigned char* pTable, float srcGamma, float dstGamma )
{
int v;
for( int i = 0; i < 256; i++ )
{
double f;
f = 255.0 * pow( (float)i / 255.0f, srcGamma / dstGamma );
v = ( int )(f + 0.5f);
if( v < 0 )
{
v = 0;
}
else if( v > 255 )
{
v = 255;
}
pTable[i] = ( unsigned char )v;
}
}
void GammaCorrectRGBA8888( unsigned char *pSrc, unsigned char* pDst, int width, int height, int depth,
unsigned char* pGammaTable )
{
for (int h = 0; h < depth; ++h )
{
for (int i = 0; i < height; ++i )
{
for (int j = 0; j < width; ++j )
{
int idx = (h * width * height + i * width + j) * 4;
// don't gamma correct alpha
pDst[idx] = pGammaTable[pSrc[idx]];
pDst[idx+1] = pGammaTable[pSrc[idx+1]];
pDst[idx+2] = pGammaTable[pSrc[idx+2]];
}
}
}
}
void GammaCorrectRGBA8888( unsigned char *src, unsigned char* dst, int width, int height, int depth,
float srcGamma, float dstGamma )
{
if (srcGamma == dstGamma)
{
if (src != dst)
{
memcpy( dst, src, GetMemRequired( width, height, depth, IMAGE_FORMAT_RGBA8888, false ) );
}
return;
}
static unsigned char gamma[256];
static float lastSrcGamma = -1;
static float lastDstGamma = -1;
if (lastSrcGamma != srcGamma || lastDstGamma != dstGamma)
{
ConstructGammaTable( gamma, srcGamma, dstGamma );
lastSrcGamma = srcGamma;
lastDstGamma = dstGamma;
}
GammaCorrectRGBA8888( src, dst, width, height, depth, gamma );
}
//-----------------------------------------------------------------------------
// Generate a NICE filter kernel
//-----------------------------------------------------------------------------
static void GenerateNiceFilter( float wratio, float hratio, float dratio, int kernelDiameter, float* pKernel, float *pInvKernel )
{
// Compute a kernel. This is a NICE filter
// sinc pi*x * a box from -3 to 3 * sinc ( pi * x/3)
// where x is the pixel # in the destination (shrunken) image.
// only problem here is that the NICE filter has a very large kernel
// (7x7 x wratio x hratio x dratio)
int kernelWidth, kernelHeight, kernelDepth;
float sx, dx, sy, dy, sz, dz;
float flInvFactor = 1.0f;
kernelWidth = kernelHeight = kernelDepth = 1;
sx = dx = sy = dy = sz = dz = 0.0f;
if ( wratio > 1.0f )
{
kernelWidth = ( int )( kernelDiameter * wratio );
dx = 1.0f / (float)wratio;
sx = -((float)kernelDiameter - dx) * 0.5f;
flInvFactor *= wratio;
}
if ( hratio > 1.0f )
{
kernelHeight = ( int )( kernelDiameter * hratio );
dy = 1.0f / (float)hratio;
sy = -((float)kernelDiameter - dy) * 0.5f;
flInvFactor *= hratio;
}
if ( dratio > 1.0f )
{
kernelDepth = ( int )( kernelDiameter * dratio );
dz = 1.0f / (float)dratio;
sz = -((float)kernelDiameter - dz) * 0.5f;
flInvFactor *= dratio;
}
float z = sz;
int h, i, j;
float total = 0.0f;
for ( h = 0; h < kernelDepth; ++h )
{
float y = sy;
for ( i = 0; i < kernelHeight; ++i )
{
float x = sx;
for ( j = 0; j < kernelWidth; ++j )
{
int nKernelIndex = kernelWidth * ( i + h * kernelHeight ) + j;
float d = sqrt( x * x + y * y + z * z );
if (d > kernelDiameter * 0.5f)
{
pKernel[nKernelIndex] = 0.0f;
}
else
{
float t = M_PI * d;
if ( t != 0 )
{
float sinc = sin( t ) / t;
float sinc3 = 3.0f * sin( t / 3.0f ) / t;
pKernel[nKernelIndex] = sinc * sinc3;
}
else
{
pKernel[nKernelIndex] = 1.0f;
}
total += pKernel[nKernelIndex];
}
x += dx;
}
y += dy;
}
z += dz;
}
// normalize
float flInvTotal = (total != 0.0f) ? 1.0f / total : 1.0f;
for ( h = 0; h < kernelDepth; ++h )
{
for ( i = 0; i < kernelHeight; ++i )
{
int nPixel = kernelWidth * ( h * kernelHeight + i );
for ( j = 0; j < kernelWidth; ++j )
{
pKernel[nPixel + j] *= flInvTotal;
pInvKernel[nPixel + j] = flInvFactor * pKernel[nPixel + j];
}
}
}
}
//-----------------------------------------------------------------------------
// Resample an image
//-----------------------------------------------------------------------------
static inline unsigned char Clamp( float x )
{
int idx = (int)(x + 0.5f);
if (idx < 0) idx = 0;
else if (idx > 255) idx = 255;
return idx;
}
inline bool IsPowerOfTwo( int x )
{
return (x & ( x - 1 )) == 0;
}
enum KernelType_t
{
KERNEL_DEFAULT = 0,
KERNEL_NORMALMAP,
KERNEL_ALPHATEST,
};
typedef void (*ApplyKernelFunc_t)( const KernelInfo_t &kernel, const ResampleInfo_t &info, int wratio, int hratio, int dratio, float* gammaToLinear, float *pAlphaResult );
//-----------------------------------------------------------------------------
// Apply Kernel to an image
//-----------------------------------------------------------------------------
template< int type, bool bNiceFilter >
class CKernelWrapper
{
public:
static inline int ActualX( int x, const ResampleInfo_t &info )
{
if ( info.m_nFlags & RESAMPLE_CLAMPS )
return clamp( x, 0, info.m_nSrcWidth - 1 );
// This works since info.m_nSrcWidth is a power of two.
// Even for negative #s!
return x & (info.m_nSrcWidth - 1);
}
static inline int ActualY( int y, const ResampleInfo_t &info )
{
if ( info.m_nFlags & RESAMPLE_CLAMPT )
return clamp( y, 0, info.m_nSrcHeight - 1 );
// This works since info.m_nSrcHeight is a power of two.
// Even for negative #s!
return y & (info.m_nSrcHeight - 1);
}
static inline int ActualZ( int z, const ResampleInfo_t &info )
{
if ( info.m_nFlags & RESAMPLE_CLAMPU )
return clamp( z, 0, info.m_nSrcDepth - 1 );
// This works since info.m_nSrcDepth is a power of two.
// Even for negative #s!
return z & (info.m_nSrcDepth - 1);
}
static void ComputeAveragedColor( const KernelInfo_t &kernel, const ResampleInfo_t &info,
int startX, int startY, int startZ, float *gammaToLinear, float *total )
{
total[0] = total[1] = total[2] = total[3] = 0.0f;
for ( int j = 0, srcZ = startZ; j < kernel.m_nDepth; ++j, ++srcZ )
{
int sz = ActualZ( srcZ, info );
sz *= info.m_nSrcWidth * info.m_nSrcHeight;
for ( int k = 0, srcY = startY; k < kernel.m_nHeight; ++k, ++srcY )
{
int sy = ActualY( srcY, info );
sy *= info.m_nSrcWidth;
int kernelIdx;
if ( bNiceFilter )
{
kernelIdx = kernel.m_nWidth * ( k + j * kernel.m_nHeight );
}
else
{
kernelIdx = 0;
}
for ( int l = 0, srcX = startX; l < kernel.m_nWidth; ++l, ++srcX, ++kernelIdx )
{
int sx = ActualX( srcX, info );
int srcPixel = (sz + sy + sx) << 2;
float flKernelFactor;
if ( bNiceFilter )
{
flKernelFactor = kernel.m_pKernel[kernelIdx];
if ( flKernelFactor == 0.0f )
continue;
}
else
{
flKernelFactor = kernel.m_pKernel[0];
}
if ( type == KERNEL_NORMALMAP )
{
total[0] += flKernelFactor * info.m_pSrc[srcPixel + 0];
total[1] += flKernelFactor * info.m_pSrc[srcPixel + 1];
total[2] += flKernelFactor * info.m_pSrc[srcPixel + 2];
total[3] += flKernelFactor * info.m_pSrc[srcPixel + 3];
}
else if ( type == KERNEL_ALPHATEST )
{
total[0] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 0] ];
total[1] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 1] ];
total[2] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 2] ];
if ( info.m_pSrc[srcPixel + 3] > 192 )
{
total[3] += flKernelFactor * 255.0f;
}
}
else
{
total[0] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 0] ];
total[1] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 1] ];
total[2] += flKernelFactor * gammaToLinear[ info.m_pSrc[srcPixel + 2] ];
total[3] += flKernelFactor * info.m_pSrc[srcPixel + 3];
}
}
}
}
}
static void AddAlphaToAlphaResult( const KernelInfo_t &kernel, const ResampleInfo_t &info,
int startX, int startY, int startZ, float flAlpha, float *pAlphaResult )
{
for ( int j = 0, srcZ = startZ; j < kernel.m_nDepth; ++j, ++srcZ )
{
int sz = ActualZ( srcZ, info );
sz *= info.m_nSrcWidth * info.m_nSrcHeight;
for ( int k = 0, srcY = startY; k < kernel.m_nHeight; ++k, ++srcY )
{
int sy = ActualY( srcY, info );
sy *= info.m_nSrcWidth;
int kernelIdx;
if ( bNiceFilter )
{
kernelIdx = k * kernel.m_nWidth + j * kernel.m_nWidth * kernel.m_nHeight;
}
else
{
kernelIdx = 0;
}
for ( int l = 0, srcX = startX; l < kernel.m_nWidth; ++l, ++srcX, ++kernelIdx )
{
int sx = ActualX( srcX, info );
int srcPixel = sz + sy + sx;
float flKernelFactor;
if ( bNiceFilter )
{
flKernelFactor = kernel.m_pInvKernel[kernelIdx];
if ( flKernelFactor == 0.0f )
continue;
}
else
{
flKernelFactor = kernel.m_pInvKernel[0];
}
pAlphaResult[srcPixel] += flKernelFactor * flAlpha;
}
}
}
}
static void AdjustAlphaChannel( const KernelInfo_t &kernel, const ResampleInfo_t &info,
int wratio, int hratio, int dratio, float *pAlphaResult )
{
// Find the delta between the alpha + source image
int i, k;
for ( k = 0; k < info.m_nSrcDepth; ++k )
{
for ( i = 0; i < info.m_nSrcHeight; ++i )
{
int dstPixel = i * info.m_nSrcWidth + k * info.m_nSrcWidth * info.m_nSrcHeight;
for ( int j = 0; j < info.m_nSrcWidth; ++j, ++dstPixel )
{
pAlphaResult[dstPixel] = fabs( pAlphaResult[dstPixel] - info.m_pSrc[dstPixel * 4 + 3] );
}
}
}
// Apply the kernel to the image
int nInitialZ = (dratio >> 1) - ((dratio * kernel.m_nDiameter) >> 1);
int nInitialY = (hratio >> 1) - ((hratio * kernel.m_nDiameter) >> 1);
int nInitialX = (wratio >> 1) - ((wratio * kernel.m_nDiameter) >> 1);
float flAlphaThreshhold = (info.m_flAlphaHiFreqThreshhold >= 0 ) ? 255.0f * info.m_flAlphaHiFreqThreshhold : 255.0f * 0.4f;
float flInvFactor = (dratio == 0) ? 1.0f / (hratio * wratio) : 1.0f / (hratio * wratio * dratio);
for ( int h = 0; h < info.m_nDestDepth; ++h )
{
int startZ = dratio * h + nInitialZ;
for ( i = 0; i < info.m_nDestHeight; ++i )
{
int startY = hratio * i + nInitialY;
int dstPixel = ( info.m_nDestWidth * (i + h * info.m_nDestHeight) ) << 2;
for ( int j = 0; j < info.m_nDestWidth; ++j, dstPixel += 4 )
{
if ( info.m_pDest[ dstPixel + 3 ] == 255 )
continue;
int startX = wratio * j + nInitialX;
float flAlphaDelta = 0.0f;
for ( int m = 0, srcZ = startZ; m < dratio; ++m, ++srcZ )
{
int sz = ActualZ( srcZ, info );
sz *= info.m_nSrcWidth * info.m_nSrcHeight;
for ( int k = 0, srcY = startY; k < hratio; ++k, ++srcY )
{
int sy = ActualY( srcY, info );
sy *= info.m_nSrcWidth;
for ( int l = 0, srcX = startX; l < wratio; ++l, ++srcX )
{
// HACK: This temp variable fixes an internal compiler error in vs2005
int temp = srcX;
int sx = ActualX( temp, info );
int srcPixel = sz + sy + sx;
flAlphaDelta += pAlphaResult[srcPixel];
}
}
}
flAlphaDelta *= flInvFactor;
if ( flAlphaDelta > flAlphaThreshhold )
{
info.m_pDest[ dstPixel + 3 ] = 255;
}
}
}
}
}
static void ApplyKernel( const KernelInfo_t &kernel, const ResampleInfo_t &info, int wratio, int hratio, int dratio, float* gammaToLinear, float *pAlphaResult )
{
float invDstGamma = 1.0f / info.m_flDestGamma;
// Apply the kernel to the image
int nInitialZ = (dratio >> 1) - ((dratio * kernel.m_nDiameter) >> 1);
int nInitialY = (hratio >> 1) - ((hratio * kernel.m_nDiameter) >> 1);
int nInitialX = (wratio >> 1) - ((wratio * kernel.m_nDiameter) >> 1);
float flAlphaThreshhold = (info.m_flAlphaThreshhold >= 0 ) ? 255.0f * info.m_flAlphaThreshhold : 255.0f * 0.4f;
for ( int k = 0; k < info.m_nDestDepth; ++k )
{
int startZ = dratio * k + nInitialZ;
for ( int i = 0; i < info.m_nDestHeight; ++i )
{
int startY = hratio * i + nInitialY;
int dstPixel = (i * info.m_nDestWidth + k * info.m_nDestWidth * info.m_nDestHeight) << 2;
for ( int j = 0; j < info.m_nDestWidth; ++j, dstPixel += 4 )
{
int startX = wratio * j + nInitialX;
float total[4];
ComputeAveragedColor( kernel, info, startX, startY, startZ, gammaToLinear, total );
// NOTE: Can't use a table here, we lose too many bits
if( type == KERNEL_NORMALMAP )
{
for ( int ch = 0; ch < 4; ++ ch )
info.m_pDest[ dstPixel + ch ] = Clamp( info.m_flColorGoal[ch] + ( info.m_flColorScale[ch] * ( total[ch] - info.m_flColorGoal[ch] ) ) );
}
else if ( type == KERNEL_ALPHATEST )
{
// If there's more than 40% coverage, then keep the pixel (renormalize the color based on coverage)
float flAlpha = ( total[3] >= flAlphaThreshhold ) ? 255 : 0;
for ( int ch = 0; ch < 3; ++ ch )
info.m_pDest[ dstPixel + ch ] = Clamp( 255.0f * pow( ( info.m_flColorGoal[ch] + ( info.m_flColorScale[ch] * ( ( total[ch] > 0 ? total[ch] : 0 ) - info.m_flColorGoal[ch] ) ) ) / 255.0f, invDstGamma ) );
info.m_pDest[ dstPixel + 3 ] = Clamp( flAlpha );
AddAlphaToAlphaResult( kernel, info, startX, startY, startZ, flAlpha, pAlphaResult );
}
else
{
for ( int ch = 0; ch < 3; ++ ch )
info.m_pDest[ dstPixel + ch ] = Clamp( 255.0f * pow( ( info.m_flColorGoal[ch] + ( info.m_flColorScale[ch] * ( ( total[ch] > 0 ? total[ch] : 0 ) - info.m_flColorGoal[ch] ) ) ) / 255.0f, invDstGamma ) );
info.m_pDest[ dstPixel + 3 ] = Clamp( info.m_flColorGoal[3] + ( info.m_flColorScale[3] * ( total[3] - info.m_flColorGoal[3] ) ) );
}
}
}
if ( type == KERNEL_ALPHATEST )
{
AdjustAlphaChannel( kernel, info, wratio, hratio, dratio, pAlphaResult );
}
}
}
};
typedef CKernelWrapper< KERNEL_DEFAULT, false > ApplyKernelDefault_t;
typedef CKernelWrapper< KERNEL_NORMALMAP, false > ApplyKernelNormalmap_t;
typedef CKernelWrapper< KERNEL_ALPHATEST, false > ApplyKernelAlphatest_t;
typedef CKernelWrapper< KERNEL_DEFAULT, true > ApplyKernelDefaultNice_t;
typedef CKernelWrapper< KERNEL_NORMALMAP, true > ApplyKernelNormalmapNice_t;
typedef CKernelWrapper< KERNEL_ALPHATEST, true > ApplyKernelAlphatestNice_t;
static ApplyKernelFunc_t g_KernelFunc[] =
{
ApplyKernelDefault_t::ApplyKernel,
ApplyKernelNormalmap_t::ApplyKernel,
ApplyKernelAlphatest_t::ApplyKernel,
};
static ApplyKernelFunc_t g_KernelFuncNice[] =
{
ApplyKernelDefaultNice_t::ApplyKernel,
ApplyKernelNormalmapNice_t::ApplyKernel,
ApplyKernelAlphatestNice_t::ApplyKernel,
};
void ComputeNiceFilterKernel( float wratio, float hratio, float dratio, KernelInfo_t *pKernel )
{
// Kernel size is measured in dst pixels
pKernel->m_nDiameter = 6;
// Compute a nice kernel...
pKernel->m_nWidth = ( wratio > 1 ) ? ( int )( pKernel->m_nDiameter * wratio ) : 1;
pKernel->m_nHeight = ( hratio > 1 ) ? ( int )( pKernel->m_nDiameter * hratio ) : 1;
pKernel->m_nDepth = ( dratio > 1 ) ? ( int )( pKernel->m_nDiameter * dratio ) : 1;
// Cache the filter (2d kernels only)....
int power = -1;
if ( (wratio == hratio) && (dratio <= 1) && ( IsPowerOfTwo( pKernel->m_nWidth ) ) && ( IsPowerOfTwo( pKernel->m_nHeight ) ) )
{
power = 0;
int tempWidth = ( int )wratio;
while (tempWidth > 1)
{
++power;
tempWidth >>= 1;
}
// Don't cache anything bigger than 512x512
if (power >= 10)
{
power = -1;
}
}
static float* s_pKernelCache[10] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
static float* s_pInvKernelCache[10] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
if (power >= 0)
{
if (!s_pKernelCache[power])
{
s_pKernelCache[power] = new float[pKernel->m_nWidth * pKernel->m_nHeight];
s_pInvKernelCache[power] = new float[pKernel->m_nWidth * pKernel->m_nHeight];
GenerateNiceFilter( wratio, hratio, dratio, pKernel->m_nDiameter, s_pKernelCache[power], s_pInvKernelCache[power] );
}
pKernel->m_pKernel = s_pKernelCache[power];
pKernel->m_pInvKernel = s_pInvKernelCache[power];
}
else
{
// Don't cache non-square kernels, or 3d kernels
float *pTempMemory = new float[pKernel->m_nWidth * pKernel->m_nHeight * pKernel->m_nDepth];
float *pTempInvMemory = new float[pKernel->m_nWidth * pKernel->m_nHeight * pKernel->m_nDepth];
GenerateNiceFilter( wratio, hratio, dratio, pKernel->m_nDiameter, pTempMemory, pTempInvMemory );
pKernel->m_pKernel = pTempMemory;
pKernel->m_pInvKernel = pTempInvMemory;
}
}
void CleanupNiceFilterKernel( KernelInfo_t *pKernel )
{
if ( ( pKernel->m_nWidth != pKernel->m_nHeight ) || ( pKernel->m_nDepth > 1 ) || ( pKernel->m_nWidth > 512 ) ||
( !IsPowerOfTwo( pKernel->m_nWidth ) ) || ( !IsPowerOfTwo( pKernel->m_nHeight ) ) )
{
delete[] pKernel->m_pKernel;
delete[] pKernel->m_pInvKernel;
}
}
bool ResampleRGBA8888( const ResampleInfo_t& info )
{
// No resampling needed, just gamma correction
if ( info.m_nSrcWidth == info.m_nDestWidth && info.m_nSrcHeight == info.m_nDestHeight && info.m_nSrcDepth == info.m_nDestDepth )
{
// Here, we need to gamma convert the source image..
GammaCorrectRGBA8888( info.m_pSrc, info.m_pDest, info.m_nSrcWidth, info.m_nSrcHeight, info.m_nSrcDepth, info.m_flSrcGamma, info.m_flDestGamma );
return true;
}
// fixme: has to be power of two for now.
if( !IsPowerOfTwo(info.m_nSrcWidth) || !IsPowerOfTwo(info.m_nSrcHeight) || !IsPowerOfTwo(info.m_nSrcDepth) ||
!IsPowerOfTwo(info.m_nDestWidth) || !IsPowerOfTwo(info.m_nDestHeight) || !IsPowerOfTwo(info.m_nDestDepth) )
{
return false;
}
// fixme: can only downsample for now.
if( (info.m_nSrcWidth < info.m_nDestWidth) || (info.m_nSrcHeight < info.m_nDestHeight) || (info.m_nSrcDepth < info.m_nDestDepth) )
{
return false;
}
// Compute gamma tables...
static float gammaToLinear[256];
static float lastSrcGamma = -1;
if (lastSrcGamma != info.m_flSrcGamma)
{
ConstructFloatGammaTable( gammaToLinear, info.m_flSrcGamma, 1.0f );
lastSrcGamma = info.m_flSrcGamma;
}
int wratio = info.m_nSrcWidth / info.m_nDestWidth;
int hratio = info.m_nSrcHeight / info.m_nDestHeight;
int dratio = (info.m_nSrcDepth != info.m_nDestDepth) ? info.m_nSrcDepth / info.m_nDestDepth : 0;
KernelInfo_t kernel;
memset( &kernel, 0, sizeof( KernelInfo_t ) );
float pKernelMem[1];
float pInvKernelMem[1];
if ( info.m_nFlags & RESAMPLE_NICE_FILTER )
{
ComputeNiceFilterKernel( wratio, hratio, dratio, &kernel );
}
else
{
// Compute a kernel...
kernel.m_nWidth = wratio;
kernel.m_nHeight = hratio;
kernel.m_nDepth = dratio ? dratio : 1;
kernel.m_nDiameter = 1;
// Simple implementation of a box filter that doesn't block the stack!
pKernelMem[0] = 1.0f / (float)(kernel.m_nWidth * kernel.m_nHeight * kernel.m_nDepth);
pInvKernelMem[0] = 1.0f;
kernel.m_pKernel = pKernelMem;
kernel.m_pInvKernel = pInvKernelMem;
}
float *pAlphaResult = NULL;
KernelType_t type;
if ( info.m_nFlags & RESAMPLE_NORMALMAP )
{
type = KERNEL_NORMALMAP;
}
else if ( info.m_nFlags & RESAMPLE_ALPHATEST )
{
int nSize = info.m_nSrcHeight * info.m_nSrcWidth * info.m_nSrcDepth * sizeof(float);
pAlphaResult = (float*)malloc( nSize );
memset( pAlphaResult, 0, nSize );
type = KERNEL_ALPHATEST;
}
else
{
type = KERNEL_DEFAULT;
}
if ( info.m_nFlags & RESAMPLE_NICE_FILTER )
{
g_KernelFuncNice[type]( kernel, info, wratio, hratio, dratio, gammaToLinear, pAlphaResult );
CleanupNiceFilterKernel( &kernel );
}
else
{
g_KernelFunc[type]( kernel, info, wratio, hratio, dratio, gammaToLinear, pAlphaResult );
}
if ( pAlphaResult )
{
free( pAlphaResult );
}
return true;
}
bool ResampleRGBA16161616( const ResampleInfo_t& info )
{
// HDRFIXME: This is some lame shit right here. (We need to get NICE working, etc, etc.)
// Make sure everything is power of two.
Assert( ( info.m_nSrcWidth & ( info.m_nSrcWidth - 1 ) ) == 0 );
Assert( ( info.m_nSrcHeight & ( info.m_nSrcHeight - 1 ) ) == 0 );
Assert( ( info.m_nDestWidth & ( info.m_nDestWidth - 1 ) ) == 0 );
Assert( ( info.m_nDestHeight & ( info.m_nDestHeight - 1 ) ) == 0 );
// Make sure that we aren't upscsaling the image. . .we do`n't support that very well.
Assert( info.m_nSrcWidth >= info.m_nDestWidth );
Assert( info.m_nSrcHeight >= info.m_nDestHeight );
int nSampleWidth = info.m_nSrcWidth / info.m_nDestWidth;
int nSampleHeight = info.m_nSrcHeight / info.m_nDestHeight;
unsigned short *pSrc = ( unsigned short * )info.m_pSrc;
unsigned short *pDst = ( unsigned short * )info.m_pDest;
int x, y;
for( y = 0; y < info.m_nDestHeight; y++ )
{
for( x = 0; x < info.m_nDestWidth; x++ )
{
int accum[4];
accum[0] = accum[1] = accum[2] = accum[3] = 0;
int nSampleY;
for( nSampleY = 0; nSampleY < nSampleHeight; nSampleY++ )
{
int nSampleX;
for( nSampleX = 0; nSampleX < nSampleWidth; nSampleX++ )
{
accum[0] += ( int )pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+0];
accum[1] += ( int )pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+1];
accum[2] += ( int )pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+2];
accum[3] += ( int )pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+3];
}
}
int i;
for( i = 0; i < 4; i++ )
{
accum[i] /= ( nSampleWidth * nSampleHeight );
accum[i] = MAX( accum[i], 0 );
accum[i] = MIN( accum[i], 65535 );
pDst[(x+y*info.m_nDestWidth)*4+i] = ( unsigned short )accum[i];
}
}
}
return true;
}
bool ResampleRGB323232F( const ResampleInfo_t& info )
{
// HDRFIXME: This is some lame shit right here. (We need to get NICE working, etc, etc.)
// Make sure everything is power of two.
Assert( ( info.m_nSrcWidth & ( info.m_nSrcWidth - 1 ) ) == 0 );
Assert( ( info.m_nSrcHeight & ( info.m_nSrcHeight - 1 ) ) == 0 );
Assert( ( info.m_nDestWidth & ( info.m_nDestWidth - 1 ) ) == 0 );
Assert( ( info.m_nDestHeight & ( info.m_nDestHeight - 1 ) ) == 0 );
// Make sure that we aren't upscaling the image. . .we do`n't support that very well.
Assert( info.m_nSrcWidth >= info.m_nDestWidth );
Assert( info.m_nSrcHeight >= info.m_nDestHeight );
int nSampleWidth = info.m_nSrcWidth / info.m_nDestWidth;
int nSampleHeight = info.m_nSrcHeight / info.m_nDestHeight;
float *pSrc = ( float * )info.m_pSrc;
float *pDst = ( float * )info.m_pDest;
for( int y = 0; y < info.m_nDestHeight; y++ )
{
for( int x = 0; x < info.m_nDestWidth; x++ )
{
float accum[4];
accum[0] = accum[1] = accum[2] = accum[3] = 0;
for( int nSampleY = 0; nSampleY < nSampleHeight; nSampleY++ )
{
for( int nSampleX = 0; nSampleX < nSampleWidth; nSampleX++ )
{
accum[0] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*3+0];
accum[1] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*3+1];
accum[2] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*3+2];
}
}
for( int i = 0; i < 3; i++ )
{
accum[i] /= ( nSampleWidth * nSampleHeight );
pDst[(x+y*info.m_nDestWidth)*3+i] = accum[i];
}
}
}
return true;
}
bool ResampleRGBA32323232F( const ResampleInfo_t& info )
{
// HDRFIXME: This is some lame shit right here. (We need to get NICE working, etc, etc.)
// Make sure everything is power of two.
Assert( ( info.m_nSrcWidth & ( info.m_nSrcWidth - 1 ) ) == 0 );
Assert( ( info.m_nSrcHeight & ( info.m_nSrcHeight - 1 ) ) == 0 );
Assert( ( info.m_nDestWidth & ( info.m_nDestWidth - 1 ) ) == 0 );
Assert( ( info.m_nDestHeight & ( info.m_nDestHeight - 1 ) ) == 0 );
// Make sure that we aren't upscaling the image. . .we don't support that very well.
Assert( info.m_nSrcWidth >= info.m_nDestWidth );
Assert( info.m_nSrcHeight >= info.m_nDestHeight );
int nSampleWidth = info.m_nSrcWidth / info.m_nDestWidth;
int nSampleHeight = info.m_nSrcHeight / info.m_nDestHeight;
float *pSrc = ( float * )info.m_pSrc;
float *pDst = ( float * )info.m_pDest;
for( int y = 0; y < info.m_nDestHeight; y++ )
{
for( int x = 0; x < info.m_nDestWidth; x++ )
{
float accum[4] = { 0.0f, 0.0f, 0.0f, 0.0f };
for( int nSampleY = 0; nSampleY < nSampleHeight; nSampleY++ )
{
for( int nSampleX = 0; nSampleX < nSampleWidth; nSampleX++ )
{
accum[0] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+0];
accum[1] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+1];
accum[2] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+2];
accum[3] += pSrc[((x*nSampleWidth+nSampleX)+(y*nSampleHeight+nSampleY)*info.m_nSrcWidth)*4+3];
}
}
for( int i = 0; i < 4; i++ )
{
accum[i] /= ( nSampleWidth * nSampleHeight );
pDst[(x+y*info.m_nDestWidth)*4+i] = accum[i];
}
}
}
return true;
}
//-----------------------------------------------------------------------------
// Generates mipmap levels
//-----------------------------------------------------------------------------
void GenerateMipmapLevels( unsigned char* pSrc, unsigned char* pDst, int width,
int height, int depth, ImageFormat imageFormat, float srcGamma, float dstGamma, int numLevels )
{
int dstWidth = width;
int dstHeight = height;
int dstDepth = depth;
// temporary storage for the mipmaps
int tempMem = GetMemRequired( dstWidth, dstHeight, dstDepth, IMAGE_FORMAT_RGBA8888, false );
CUtlMemory<unsigned char> tmpImage;
tmpImage.EnsureCapacity( tempMem );
while( true )
{
// This generates a mipmap in RGBA8888, linear space
ResampleInfo_t info;
info.m_pSrc = pSrc;
info.m_pDest = tmpImage.Base();
info.m_nSrcWidth = width;
info.m_nSrcHeight = height;
info.m_nSrcDepth = depth;
info.m_nDestWidth = dstWidth;
info.m_nDestHeight = dstHeight;
info.m_nDestDepth = dstDepth;
info.m_flSrcGamma = srcGamma;
info.m_flDestGamma = dstGamma;
ResampleRGBA8888( info );
// each mipmap level needs to be color converted separately
ConvertImageFormat( tmpImage.Base(), IMAGE_FORMAT_RGBA8888,
pDst, imageFormat, dstWidth, dstHeight, 0, 0 );
if (numLevels == 0)
{
// We're done after we've made the 1x1 mip level
if (dstWidth == 1 && dstHeight == 1 && dstDepth == 1)
return;
}
else
{
if (--numLevels <= 0)
return;
}
// Figure out where the next level goes
int memRequired = ImageLoader::GetMemRequired( dstWidth, dstHeight, dstDepth, imageFormat, false);
pDst += memRequired;
// shrink by a factor of 2, but clamp at 1 pixel (non-square textures)
dstWidth = dstWidth > 1 ? dstWidth >> 1 : 1;
dstHeight = dstHeight > 1 ? dstHeight >> 1 : 1;
dstDepth = dstDepth > 1 ? dstDepth >> 1 : 1;
}
}
} // ImageLoader namespace ends
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