@inproceedings{f398eca307d14849b2acdf30e5123a42,
title = "Sparse representation based blind image deblurring",
abstract = "We propose a sparse representation based blind image deblurring method. The proposed method exploits the sparsity property of natural images, by assuming that the patches from the natural images can be sparsely represented by an over-complete dictionary. By incorporating this prior into the deblurring process, we can effectively regularize the ill-posed inverse problem and alleviate the undesirable ring effect which is usually suffered by conventional deblurring methods. Experimental results compared with state-of-the-art blind deblurring method demonstrate the effectiveness of the proposed method.",
keywords = "blind image deblurring, deconvolution, sparse representation",
author = "Haichao Zhang and Jianchao Yang and Yanning Zhang and Huang, {Thomas S.}",
year = "2011",
doi = "10.1109/ICME.2011.6012035",
language = "English (US)",
isbn = "9781612843490",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
booktitle = "Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011",
note = "2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 ; Conference date: 11-07-2011 Through 15-07-2011",
}