Statistical Modeling of Photographic Images
Eero P. Simoncelli, New York University
1 Introduction
The set of all possible visual images is huge, but not all of these are equally likely to be encountered by an imaging device such as the eye. Knowledge of this nonuniform probability on the image space is known to be exploited by biologic visual systems and can be used to advantage in most applications in image processing and machine vision. For example, loosely speaking, when one observes a visual image that has been corrupted by some sort of noise, the process of estimating the original source image may be viewed ...
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