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Handbook of Image and Video Processing, 2nd Edition by Alan C. Bovik

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4.5

Image Noise Models

Boncelet Charles,     University of Delaware

1 Summary.

2 Preliminaries.

2.1 What is Noise?

2.2 Notions of Probability

3 Elements of Estimation Theory.

4 Types of Noise and Where They Might Occur.

4.1 Gaussian Noise

4.2 Heavy Tailed Noises

4.3 Salt and Pepper Noise

4.4 Quantization and Uniform Noise

4.5 Photon Counting Noise

4.6 Photographic Grain Noise

5 CCD Imaging.

6 Speckle.

6.1 Speckle in Coherent Light Imaging

6.2 Atmospheric Speckle

7 Conclusions.

References.

1 Summary

This chapter reviews some of the more commonly used image noise models. Some of these are naturally occurring, e.g., Gaussian noise, some sensor induced, e.g., photon counting noise and speckle, and some result from various processing, ...

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