Performance Comparison of Wiener Filter and CLS Filter on 2D Signals

Images acquired by optical, electro optical or electronic means are likely to be degraded by the sensing environment. The degradations may be in the form of sensor noise, blur due to camera misfocus, relative camera motion, random atmospheric turbulence, and so on. Image restoration is concerned with filtering the observed image to minimize the effect of degradation. The effectiveness of image restoration filters depends on the extent and accuracy of the knowledge of the degradation process as well as on the filter design criterion. In this paper, we have considered the performance of Wiener and (CLS) constrained least square filtering methods on the basis of noise to signal ratios, image power, noise power and histograms on restoration images.