bsnes/nall/image/utility.hpp

96 lines
3.3 KiB
C++

#ifndef NALL_IMAGE_UTILITY_HPP
#define NALL_IMAGE_UTILITY_HPP
namespace nall {
bool image::crop(unsigned outputX, unsigned outputY, unsigned outputWidth, unsigned outputHeight) {
if(outputX + outputWidth > width) return false;
if(outputY + outputHeight > height) return false;
uint8_t* outputData = allocate(outputWidth, outputHeight, stride);
unsigned outputPitch = outputWidth * stride;
#pragma omp parallel for
for(unsigned y = 0; y < outputHeight; y++) {
const uint8_t* sp = data + pitch * (outputY + y) + stride * outputX;
uint8_t* dp = outputData + outputPitch * y;
for(unsigned x = 0; x < outputWidth; x++) {
write(dp, read(sp));
sp += stride;
dp += stride;
}
}
delete[] data;
data = outputData;
width = outputWidth;
height = outputHeight;
pitch = outputPitch;
size = width * pitch;
return true;
}
void image::alphaBlend(uint64_t alphaColor) {
uint64_t alphaR = (alphaColor & red.mask ) >> red.shift;
uint64_t alphaG = (alphaColor & green.mask) >> green.shift;
uint64_t alphaB = (alphaColor & blue.mask ) >> blue.shift;
#pragma omp parallel for
for(unsigned y = 0; y < height; y++) {
uint8_t* dp = data + pitch * y;
for(unsigned x = 0; x < width; x++) {
uint64_t color = read(dp);
uint64_t colorA = (color & alpha.mask) >> alpha.shift;
uint64_t colorR = (color & red.mask ) >> red.shift;
uint64_t colorG = (color & green.mask) >> green.shift;
uint64_t colorB = (color & blue.mask ) >> blue.shift;
double alphaScale = (double)colorA / (double)((1 << alpha.depth) - 1);
colorA = (1 << alpha.depth) - 1;
colorR = (colorR * alphaScale) + (alphaR * (1.0 - alphaScale));
colorG = (colorG * alphaScale) + (alphaG * (1.0 - alphaScale));
colorB = (colorB * alphaScale) + (alphaB * (1.0 - alphaScale));
write(dp, (colorA << alpha.shift) | (colorR << red.shift) | (colorG << green.shift) | (colorB << blue.shift));
dp += stride;
}
}
}
void image::transform(bool outputEndian, unsigned outputDepth, uint64_t outputAlphaMask, uint64_t outputRedMask, uint64_t outputGreenMask, uint64_t outputBlueMask) {
if(endian == outputEndian && depth == outputDepth && alpha.mask == outputAlphaMask && red.mask == outputRedMask && green.mask == outputGreenMask && blue.mask == outputBlueMask) return;
image output(outputEndian, outputDepth, outputAlphaMask, outputRedMask, outputGreenMask, outputBlueMask);
output.allocate(width, height);
#pragma omp parallel for
for(unsigned y = 0; y < height; y++) {
const uint8_t* sp = data + pitch * y;
uint8_t* dp = output.data + output.pitch * y;
for(unsigned x = 0; x < width; x++) {
uint64_t color = read(sp);
sp += stride;
uint64_t a = (color & alpha.mask) >> alpha.shift;
uint64_t r = (color & red.mask) >> red.shift;
uint64_t g = (color & green.mask) >> green.shift;
uint64_t b = (color & blue.mask) >> blue.shift;
a = normalize(a, alpha.depth, output.alpha.depth);
r = normalize(r, red.depth, output.red.depth);
g = normalize(g, green.depth, output.green.depth);
b = normalize(b, blue.depth, output.blue.depth);
output.write(dp, (a << output.alpha.shift) | (r << output.red.shift) | (g << output.green.shift) | (b << output.blue.shift));
dp += output.stride;
}
}
operator=(std::move(output));
}
}
#endif