A Review and New Subjective Evaluation Experiment of Objective Metricsused to Evaluate Histogram Equalization-based Contrast Enhancement Techniques

Histogram Equalization (HE) is a dominant contrast enhancement method mainly used in image processing expanse due to its efficacy in forming images with good contrast. Various versions of works' efforts in Global HE have been created over the years. Improperly, these methods' resilience to distortion remains questionable. This paper proposes to evaluate the selected two objective metrics which are the Absolute Mean Brightness Error (AMBE) and Entropy used for evaluation of image quality assessment algorithms (IQAs) based onGHE techniques. A review for thesetwo objective metrics is made. It is found that the two IQAs fail to detect the occurrence of noise artifacts and gray level brightness saturation effectively.Also,an experiment was conducted by using subjective evaluation to assess the performance of these twoobjective metrics. The statistical results of the experimentreveal that they have poor correlation with Human Visual Perception (HVP) of distortions.