Abstract
We have introduced in Chapter 3 the basics of statistical decision and estimation theory as a tool for designing image processing algorithms adapted to the noise that actually affects the images. The efficiency of this approach stems from the fact that it is based on a physical model of the image and of the noise:The derived algorithms are thus, by construction, adapted to these perturbations. This approach has many applications nowadays, as more and more new imagery systems based on various physical phenomena are developed. Indeed, each of these systems may have different noise characteristics and statistical decision and estimation theory provides an efficient way of designing adapted processing algorithms.
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