Title :
Anisotropic blind image restoration
Author :
You, Yu-Li ; Kaveh, M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
Anisotropic diffusion is proposed as a technique to regularize joint blur identification and image restoration. In comparison with previously proposed space-adaptive regularization methods, it shares the feature of space-adaptive degree of regularization, but it has the unique feature of adapting its direction of regularization to the orientation of edges. Consequently, good restoration quality was observed with both numerically and photographically degraded images
Keywords :
adaptive signal processing; deconvolution; edge detection; image restoration; anisotropic blind image restoration; anisotropic diffusion; blind deconvolution; image edge orientation; image restoration; image restoration quality; joint blur identification; numerically degraded images; photographically degraded images; regularization direction; space-adaptive regularization degree; space-adaptive regularization methods; Aging; Anisotropic magnetoresistance; Contracts; Degradation; Image restoration; Smoothing methods;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560885