Image restoration by mixture modelling of an overcomplete linear representation


We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, having non-zero and zero mean respectively, and reflecting the assumption that this response is close to be sparse. Including the observation model, the resulting procedure iterates… (More)
DOI: 10.1109/ICIP.2009.5413795


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