Human Visual Perception-based Image Quality Analyzer for Assessment of Contrast Enhancement Methods
Journal: The International Arab Journal of Information Technology (Vol.13, No. 2)Publication Date: 2016-03-01
Authors : Soong-Der Chen;
Page : 238-245
Keywords : IQA; visual perception; distortions; contrast enhancement;
Abstract
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
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