A Biologically Inspired Filter For Image Restoration

Satyadhyan Chickerur1, Aswatha Kumar M2
1 M.S.Ramaiah Institute of Technology/Information Science and Engineering Department, Bangalore, India
2 M.S.Ramaiah Institute of Technology/Information Science and Engineering Department, Bangalore, India

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Abstract—

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.



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