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In this paper, a highly adaptive swarm intelligence inspired optimally gamma corrected intensity coverage maximization approach has been proposed for quality enhancement of dark and low contrast remotely sensed images. Various image enhancement techniques have been proposed till date, but in case of dark images, most of them are suffering from saturation effects in higher intensity regions along with...
In this paper, an efficient statistical approach, employing a highly adaptive gamma correction based on regionally distributed and independently equalized histograms for all regions followed by contextual clipping, is presented for overall enhancement of low contrast dark images keeping their intrinsic features preserved. For this purpose, input image is uniformly subdivided into several non-overlapping...
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