Iterative blind image restoration using local constraints. May, K., Stathaki, T., & Katsaggelos, A. In European Signal Processing Conference, volume 1998-Janua, pages 1–4, 1998.
abstract   bibtex   
A new method of incorporating local image constraints into blind image restoration is proposed. The local mean and variance of the degraded image are used to obtain .in initial estimate of the pixel intensity bounds. As the restoration proceeds, the bounds are updated from the current image estimate. I lie iterative-bound algorithm shows an improvement over the use of fixed bounds taken from the blurred image, in which case underestimation of the variance occurs at edges and textures. Simulations are presented for both the fixed-And iterative-bound implementations.
@inproceedings{Kaaren1998b,
abstract = {A new method of incorporating local image constraints into blind image restoration is proposed. The local mean and variance of the degraded image are used to obtain .in initial estimate of the pixel intensity bounds. As the restoration proceeds, the bounds are updated from the current image estimate. I lie iterative-bound algorithm shows an improvement over the use of fixed bounds taken from the blurred image, in which case underestimation of the variance occurs at edges and textures. Simulations are presented for both the fixed-And iterative-bound implementations.},
author = {May, Kaaren and Stathaki, Tania and Katsaggelos, Aggelos},
booktitle = {European Signal Processing Conference},
issn = {22195491},
pages = {1--4},
title = {{Iterative blind image restoration using local constraints}},
volume = {1998-Janua},
year = {1998}
}

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