Introduction - If you have any usage issues, please Google them yourself
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