IMPROVING VISUAL EXCELLENCE: AN IN-DEPTH COMPARISON OF HISTOGRAM EQUALIZATION TECHNIQUES FOR IMAGE ENHANCEMENT

Abstract

Optimize image contrast through redistribution of pixel intensity histograms. This paper explores various techniques in image enhancement and equalization, focusing on histogram equalization methods such as Histogram Equalization, Dynamic HE, Quantized Dynamic Histogram Equalization, Image Sub-division and Quadruple Clipped Adaptive Histogram Equalization , Joint Histogram Equalization , 2 Dimensional Histogram Equalization and finally Brightness Preserved Dynamic Histogram Equalization. The effectiveness of these methods is assessed using the BSDS500 dataset. This study conducts a comparative analysis to underscore the strengths and weaknesses of each technique in enhancing image quality and perception.