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Chapter 12: Image Restoration > 12.1 Modeling of the Image Degradation and Rest...

12.1 Modeling of the Image Degradation and Restoration Problem

This chapter presents techniques used to improve the appearance of an image that has been subject to degradation and noise. Figure 12.1 shows a diagram of the degradation and restoration processes. In this diagram, it is assumed that an original image f(x,y) has been subject to some sort of quality degradation (e.g., blurring caused by lack of focus or camera motion, atmospheric disturbances, or geometric distortions caused by imperfect lenses) that can be modeled by a function img. The image may (also) have been contaminated by additive noise (img). The resulting degraded image, img, is the input for the image restoration algorithms described later. These algorithms are usually implemented as restoration filters that are able to undo—to some extent—the degradation process, resulting in a restored image img (which should be interpreted as an estimate of the original image img and is often referred to as img). In other words, the goal of restoration techniques is to obtain an image that is as close to the original image as possible.


  

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