Blind image quality assessment based on Benford's law-Reference-Cited by-同舟云学术

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Blind image quality assessment based on Benford's law

Published:2018-11 Issue:11 Volume:12 Page:1983-1993
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Al‐Bandawi Hussein¹,Deng Guang¹

Affiliation:

1. Department of EngineeringLa Trobe UniversityBundooraVIC3086Australia

Funder

Higher Committee for Education Development in Iraq

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5385

Reference66 articles.

1. Perceptual visual quality metrics: a survey;Weisi L.;J. Vis. Commun. Image Represent.,2011

2. Blind quality index for camera images with natural scene statistics and patch-based sharpness assessment

3. Making a “Completely Blind” Image Quality Analyzer

4. A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)

5. Evaluating quality of screen content images via structural variation analysis;Gu K.;IEEE Trans. Vis. Comput. Graph.,2017

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