@inproceedings{fd12a97b166343dcb80f9ac67580a6f9,
title = "Image restoration by mixture modelling of an overcomplete linear representation",
abstract = "We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, having non-zero and zero mean respectively, and reflecting the assumption that this response is close to be sparse. Including the observation model, the resulting procedure iterates between image reconstruction from the hard-thresholding of the response to the current estimate and a fast blur compensation step. Results indicate that our method compares favorably with current wavelet-based restoration methods.",
keywords = "Hard-thresholding, Image restoration, Linear representations, Overcomplete wavelets, Sparsity",
author = "L. Mancera and {Derin Babacan}, S. and R. Molina and Katsaggelos, {A. K.}",
year = "2009",
doi = "10.1109/ICIP.2009.5413795",
language = "English (US)",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3949--3952",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}