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We describe an invertible nonlinear image transformation that is well-matched to the statistical properties of photographic images, as well as the perceptual sensitivity of the human visual system. Images are first decomposed using a multi-scale oriented linear transformation. In this domain, we develop a Markov random field model based on the dependencies within local clusters of transform coefficients associated with basis functions at nearby positions, orientations and scales. In this model,doi:10.1117/12.720848 dblp:conf/hvei/LyuS07 fatcat:jloaqzxtqvhblpc73fh7z5crxe