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applyRawFlatFrame.m - Pastebin.com
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- %%
- %% Applies a raw flat frame to a raw image using zero blur, which allows the
- %% removal of sensor dust spots (and also vignetting correction) at the expense
- %% of introducing some noise from the flat frame
- %%
- %% Parameters:
- %%
- %% imgFilename - Filename of image to correct, generated via LibRaw's unprocessed_raw.exe
- %% flatFieldFilename - Filename of flat-field image, generated via LibRaw's unprocessed_raw.exe
- %% outputFilename - Filename to hold output bayer PGM, which caller needs to convert toc
- %% raw via pgm2dng.exe
- %% imgDimensions - Dimensions of image to use. Example: [4024 6018] for 6018x4024
- %%
- %% Output:
- %%
- %% PGM bayer-interlaced file, corrected for sensor dust via flat-frame
- %%
- function applyRawFlatFrame(imgFilename, flatFieldFilename, outputFilename, imgDimensions)
- cfaPatternStr = "RGGB";
- function imgData = loadImgData(filename)
- imgData = double(imread(filename));
- imgData = resize(imgData, imgDimensions);
- end
- function avg = calcChannelCenterAverage(channelData)
- avg = mean(channelData(floor(end/2-128):floor(end/2+128), floor(end/2-128):floor(end/2+128))(:));
- end
- %% read target and flat-field raw data generated by LibRaw's unprocessed_raw.exe
- imgData = loadImgData(imgFilename, imgDimensions);
- imgDataFlatField = loadImgData(flatFieldFilename, imgDimensions);
- %% split the raw data into its separate RGGB channels
- [r, g1, g2, b] = rawBayerToChannels(cfaPatternStr, imgData);
- [rFlat, g1Flat, g2Flat, bFlat] = rawBayerToChannels(cfaPatternStr, imgDataFlatField);
- %% generate flat-field divisor tables for each color channel
- rDivisors = rFlat ./ calcChannelCenterAverage(r);
- g1Divisors = g1Flat ./ calcChannelCenterAverage(g1);
- g2Divisors = g2Flat ./ calcChannelCenterAverage(g2);
- bDivisors = bFlat ./ calcChannelCenterAverage(b);
- %% apply flat-field divisors to image data
- r = r ./ rDivisors;
- g1 = g1 ./ g1Divisors;
- g2 = g2 ./ g2Divisors;
- b = b ./ bDivisors;
- %% put the modified channels back into a bayer pattern
- imgDataOut = channelsToRawBayer(cfaPatternStr, r, g1, g2, b);
- %% write a PGM with the new data
- imwrite(uint16(imgDataOut), outputFilename);
- end
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