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

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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.

Original languageEnglish
Pages (from-to)238-245
Number of pages8
JournalInternational Arab Journal of Information Technology
Volume13
Issue number2
Publication statusPublished - 01 Jan 2016

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Image coding
Image quality
Luminance
Entropy

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

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