A 2-D IIR neural hybrid filter for image processing

A 2-D IIR neural hybrid (2DINH) filter is developed for image processing. This 2DINH filter consists of the cascade connection of a 2-D IIR linear filter followed by a neural filter. The proposed 2DINH filter can be applied to smoothing for the images corrupted with the Gaussian noise and/or impulsive noise and to edge detection for the images corrupted with the Gaussian noise. The parameters of a neural filter are adjustable by a learning algorithm to adapt itself to the property of an image to be processed. Finally, some examples are given to illustrate the utility of the proposed filter.<
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