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Blind color image deconvolution based on wavelet decomposition
Yu He; Kim-Hui Yap; Li Chen; Lap-Pui Chau;
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Volume 2,
11-14 Sept. 2005
Page(s):II
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766-9
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 (MIMO) model in solving this problem as the color channels are usually highly correlated. In view of this, the 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.
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