Comments on "Nonstationary Assumptions for Gaussian Models in Images"

Abstract
Evidence is reviewed suggesting that a Laplacian probability density function constitutes a more valid model for high-pass filtered imagery than the Gaussian model postulated in earlier work. In addition, it is shown that this discrepancy does not either seriously weaken the applicability of this class of images to a major image restoration method or challenge any other basic conclusions of the previous work.

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