Quality index evaluation of videos based on fuzzy interface system

Author:

Al‐Naji Ali12,Lee Sang‐Heon1,Chahl Javaan13

Affiliation:

1. School of Engineering, University of South Australia, SA 5095Australia

2. Joint and Operations Analysis DivisionDefence Science and Technology GroupVictoria3207Australia

3. College of Electrical and Electronic Engineering Techniques, Middle Technical UniversityBaghdadIraq

Publisher

Institution of Engineering and Technology (IET)

Subject

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

Reference50 articles.

1. Comparison of image quality assessment: PSNR, HVS, SSIM, UIQI;Al‐Najjar Y.A.;Int. J. Eng. Sci. Res.,2012

2. SWVFS: a saliency weighted visual feature similarity metric for image quality assessment;Cui L.;Front. Comput. Sci.,2014

3. Remote sensing image compression assessment based on multilevel distortions;Jiang H.;J. Appl. Remote Sens.,2014

4. Perceptual visual quality metrics: A survey

5. 2014 Int. Conf. on Electronics and Communication Systems (ICECS) 2014 J.D. Ruikar A.K. Sinha S. Chaudhury Image quality assessment algorithms: study and performance comparison

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