Maximum entropy image restoration revisited - Image Processing, 2000. Proceedings. 2000 International Conference on
نویسنده
چکیده
This paper presents a new non-iterative, closed-form approximation to the maximum entropy (M.E.) image restoration method. A fast frequency domain implementation of this closed form approach is developed for the case of circular convolutional blur. This result dramatically reduces computational demands compared to conventional iterative M.E. algorithms such as MART. Some limitations and advantages of M.E. restoration are investigated, including its dismal performance for high resolution restoration of decimated or randomly sampled blurred observations.
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