Description: Using a gradient-based algorithm , through matlab to achieve high dynamic range imaging . High dynamic range image , compared to ordinary images can provide more dynamic range and image detail , according to the low dynamic range images of different exposure times , using the corresponding optimal exposure time for each detail of the low dynamic range images to synthesize final high dynamic range image , to better reflect the human visual real environment . Gaussian blur used here show high dynamic range image beyond the range of values is also useful , even if they are converted into low dynamic range images usually have the time to be cut off. In the original high dynamic range image, those pixels have a very large brightness value. When the image is blurred when the brightness of the surrounding pixels are " pulled " to the maximum value , and when chroma clipping mapping , of course, the brightness of highlight pixels surrounding the pixel will be " low " , but they a
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File list (Check if you may need any files):
HDR_imaging.m
MD.m
ctrs_adj.m
gau_blend.m
image_floor.m
reg_cent.m
rgb2yuv.m
yuv2rgb.m
操作说明.txt
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