@inproceedings{81037ce67fb04f57bfbbf993844d1cde,
title = "Blind color image deconvolution based on wavelet decomposition",
abstract = "This paper presents a new framework to address blind color image deconvolution based on wavelet decomposition. Blind color image deconvolution is a challenging problem due to the lack of information available. Conventional methods based on single-input single-output (SISO) model experience significant color artifacts in the restored images. On the other hand, there are limitations on the practicality of using multi-input multi-output (MEMO) model in solving this problem as the color channels are usually highly correlated. In view of this, this paper proposes a new framework to solve blind color image deconvolution by first decomposing the color channels into wavelet subbands, and performing image deconvolution using a combination of SISO and single-input multi-output (SIMO) models. Experimental results show that the proposed method is able to achieve satisfactory restored images.",
keywords = "Blind color image deconvolution, Conjugate gradient optimization, SISO and SIMO models, Wavelet decomposition",
author = "Yu He and Yap, {Kim Hui} and Li Chen and Chau, {Lap Pui}",
year = "2005",
month = sep,
doi = "10.1109/ICIP.2005.1530168",
language = "English",
isbn = "0780391349",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "763--766",
booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",
address = "United States",
note = "IEEE International Conference on Image Processing 2005, ICIP 2005 ; Conference date: 11-09-2005 Through 14-09-2005",
}