Cuckoo Search Optimizer based Piecewise Gamma Corrected Auto-clipped Tile-wise Equalization for Satellite Image Enhancement

Abstract

An efficient optimally weighted framework for piecewise gamma corrected adaptively clipped sectional equalization for overall quality improvement of remotely sensed dark satellite images, is proposed here. In association with it, cuckoo search based biologically inspired optimizer is employed here due to its remarkably attractive exploration and exploitation policies. Tile-wise equalization and associated optimal clipping leads to adaptively equalized interim intensity channel. Piecewise gamma correction using reciprocal gamma values those are derived optimally. Entire allowable intensity span must be exploited so that the count of the void bins can be reduced and hence, cost function is framed by introducing this void-bin count as a penalty term along with desired assurance for entropy as well as contrast enhancement. Rigorous experimentation is executed by employing the performance evaluation and comparison with pre-existing recently proposed and highly appreciated quality enhancement approaches.