Title :
An Improved Multiscale Maximum Entropy Image Restoration Algorithm
Author :
Wu Lehua ; Sun Jing
Author_Institution :
Signal & Inf. Process., Chongqing Commun. Inst.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
Based on multiscale maximum entropy method for image restoration proposed by Starch, an improved method is proposed in this paper. In this method, an adaptive threshold that is computationally more efficient is proposed for spatial filtering. And the choosing of regularization parameter is also developed for any image. Computer simulations show that the improved algorithm is better for image restoration
Keywords :
filtering theory; image restoration; maximum entropy methods; adaptive threshold; computer simulation; image restoration; multiscale maximum entropy method; regularization parameter; spatial filtering; Additive noise; Deconvolution; Degradation; Entropy; Image restoration; Information processing; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.51
