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IAJIT
2016

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

3 years 15 days ago
Human visual perception-based image quality analyzer for assessment of contrast enhancement methods
: 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.
Soong-Der Chen
Added 04 Apr 2016
Updated 04 Apr 2016
Type Journal
Year 2016
Where IAJIT
Authors Soong-Der Chen
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