Human visual perception-based image quality analyzer for assessment of contrast enhancement methods

• Main Author: Chen S.-D.
• Other Authors: 7410253413
• Format: Article
• Published: Zarka Private Univ 2023
• Institution: Universiti Tenaga Nasional

Absolute Mean Brightness Error (AMBE) and entropy are two popular Image Quality Analyzer (IQA) metrics used for assessment of Histogram Equalization (HE)-based contrast enhancement methods. However, recent study shows that they have poor correlation with Human Visual Perception (HVP); Pearson Correlation Coefficient (PCC)<0.4. This paper, proposed a new IQA which takes into account important properties of HVP with respect to luminance, texture and scale. evaluation results show that the proposed IQA has significantly improved performance (PCC>0.9). It outperforms all IQAs in study, including two prominent IQAs designed for assessment of image fidelity in image coding-Multi-Scale Structural Similarity (MSSIM) and information fidelity criterion. � 2016, Zarka Private Univ. All rights reserved.