Image Processing and Communications by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030312541
Publisher: Springer International Publishing

where represents mean value and the standard deviation. In digital images it is caused mostly by sensor faults due to low illumination or high temperature. Figure 1 shows an effect caused by this type of noise on an image.

Fig. 2.Quantization noise applied on example image.

3.2 Quantization Noise

Quantization noise arises as a result of quantization of intensity signal to discrete levels of image pixels. It is dependent on bit depth of an image, which limits the number of possible values. This type of noise is modeled by adding a random value from range:

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