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https://github.com/SatDump/SatDump
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46e6e06964
- When saving PBM and JPEG (which do not support transparency), pre-multiply alpha to each channel - Fix TIFF transparency mode - When doing overlay mode, allow setting opacity on bottom layer - Fix overlay with transparency when target image does not have an alpha channel
80 lines
No EOL
3.4 KiB
C++
80 lines
No EOL
3.4 KiB
C++
#include "image_utils.h"
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namespace image
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{
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image::Image<uint16_t> blend_images(image::Image<uint16_t> &img1, image::Image<uint16_t> &img2)
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{
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size_t width = std::min<int>(img1.width(), img2.width());
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size_t height = std::min<int>(img1.height(), img2.height());
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image::Image<uint16_t> img_b(width, height, img1.channels());
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bool are_rgba = img1.channels() == 4 && img2.channels() == 4;
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for (int c = 0; c < img1.channels(); c++)
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{
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if (are_rgba)
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{
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for (size_t i = 0; i < height * width; i++)
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{
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if (img1.channel(3)[i] == 0)
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{
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img_b.channel(c)[i] = img2.channel(c)[i];
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img_b.channel(3)[i] = 65535;
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}
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else if (img2.channel(3)[i] == 0)
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{
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img_b.channel(c)[i] = img1.channel(c)[i];
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img_b.channel(3)[i] = 65535;
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}
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else
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{
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img_b.channel(c)[i] = c == 3 ? 65535 : ((size_t(img1.channel(c)[i]) + size_t(img2.channel(c)[i])) / 2);
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img_b.channel(3)[i] = 65535;
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}
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}
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}
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else
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{
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for (size_t i = 0; i < height * width; i++)
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{
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if ((img1.channels() == 3 ? (uint64_t)img1.channel(0)[i] + (uint64_t)img1.channel(1)[i] + (uint64_t)img1.channel(2)[i] : img1.channel(c)[i]) == 0)
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img_b.channel(c)[i] = img2.channel(c)[i];
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else if ((img2.channels() == 3 ? (uint64_t)img2.channel(0)[i] + (uint64_t)img2.channel(1)[i] + (uint64_t)img2.channel(2)[i] : img2.channel(c)[i]) == 0)
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img_b.channel(c)[i] = img1.channel(c)[i];
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else
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img_b.channel(c)[i] = (size_t(img1.channel(c)[i]) + size_t(img2.channel(c)[i])) / 2;
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}
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}
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}
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return img_b;
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}
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image::Image<uint16_t> merge_images_opacity(image::Image<uint16_t> &img1, image::Image<uint16_t> &img2, float op)
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{
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const size_t width = std::min<int>(img1.width(), img2.width());
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const size_t height = std::min<int>(img1.height(), img2.height());
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const int64_t size = width * height;
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const int channels_1 = img1.channels();
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const int channels_2 = img2.channels();
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const int color_channels = std::min(3, channels_1);
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image::Image<uint16_t> ret(width, height, channels_1);
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#pragma omp parallel for
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for (int64_t i = 0; i < size; i++)
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{
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float alpha_1 = channels_1 == 4 ? (float)img1.channel(3)[i] / 65535.0f : 1.0f;
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float alpha_2 = (channels_2 == 4 ? (float)img2.channel(3)[i] / 65535.0f : 1.0f) * op;
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float ret_alpha = alpha_2 + alpha_1 * (1.0f - alpha_2);
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for (int j = 0; j < color_channels; j++)
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ret.channel(j)[i] = ((alpha_2 * ((float)img2.channel(j)[i] / 65535.0f) +
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alpha_1 * ((float)img1.channel(j)[i] / 65535.0f) * (1.0f - alpha_2)) / ret_alpha) * 65535.0f;
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if (channels_1 == 4)
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ret.channel(3)[i] = ret_alpha * 65535.0f;
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else
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for (int j = 0; j < color_channels; j++)
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ret.channel(j)[i] = (float)ret.channel(j)[i] * ret_alpha;
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}
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return ret;
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}
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} |