Deconvolution by the Multiscale Maximum Entropy Method
نویسندگان
چکیده
In 1994, to overcome the diiculties encountered by the Maximum Entropy Method (MEM) to restore images containing both high and low frequencies, Bontekoe et al. introduced the Pyramid Maximum Entropy Deconvolution. However, this method presents several drawbacks such as parameters estimation (model, alpha). Following these ideas, we propose the Multiscale Maximum Entropy Method which is based on the concept of multiscale entropy derived from the wavelet decomposition of a signal into diierent frequencies bands. It leads to a method which is ux conservative, and the use of a multiresolution support solves the problem of MEM to chose the parameter, i.e., relative weight between the goodness-of-t and the entropy.
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