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A Biologically Inspired Filter For Image Restoration

Digital image restoration is a field of engineering that studies methods used to recover original scene from the degraded images and observations. Techniques used for image restoration are oriented towards modeling the degradations, usually blur and noise and applying various filters to obtain an approximation of the original scene. In this paper genetic algorithms based filter which uses the concept of Weighted Order Statistics filter and Darwin's theory of evolution for achieving various generations of restored output is proposed. Once the initial target image is obtained, the GA's can be used to restore the images which are affected by different degradations levels without having any prior information about the blurring model and noise type. The results in this paper also point out that this method can be effectively used in blind restoration problems.