A Study on Blur Kernel Estimation from Blurred and Noisy Image Pairs
نویسنده
چکیده
The course can be split in two parts. In the implementation part, the kernel estimation process as described in [1] has been studied. The algorithm has been tested against synthetic and real data; and its performance has been discussed. In the reading part, a number of papers have been covered from the list of papers discussed in the graduate level course CPSC 505 “Image Understanding – I: Image Analysis” in Winter Term – I, 2007.
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