Exploring protective window through the lens of image restoration techniques

Abstract

A comparative performance analysis of three distinct clutter reduction techniques, including Max, Harmonic, and Geometric filters, is done in this paper. This research proposes new algorithms for these three filters with protective windows to lessen the bias caused by the target. We compare these new methods with blurry images. It results in the crucial conclusion that the filter with the best performance in a certain circumstance should be chosen. The outcome of the experiment demonstrates that the suggested algorithms with the protective window are more effective than the current methods.