Abstract
This paper carries out the mathematical analyses and implements linear restoration filters such as Inverse filter, Pseudo Inverse filter, Wiener filter, Constrained Least square filter. Linear filters are used to restore images that are blurred by spatial invariant degradation model and degraded by additive noise. The performance of each filter is considered based on the statistical parameter of the restored image. The analysis is carried out for each filter over a range of noise and blur. The filter transfer function is optimized to get a nearest estimate to the original image. The performance of each filter is compared and conclusions are presented.
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