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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    Title :

    Blind color image deconvolution based on wavelet decomposition


    Contributors:
    Yu He, (author) / Kim-Hui Yap, (author) / Li Chen, (author) / Lap-Pui Chau, (author)


    Publication date :

    2005-01-01


    Size :

    340924 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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