Efficient recursive multichannel blind image restoration
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Advances in Signal Processing
Enhancement of coupled multichannel images using sparsity constraints
IEEE Transactions on Image Processing
Spatially varying regularization of image sequences super-resolution
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoothing functional has a global minimizer