NDLI: A new no-reference image quality assessment based on SVR fusion

Content Provider	IEEE Xplore Digital Library
Author	Eddine, Dakkar Borhen Fella, Hachouf Seghir, Zianou Ahmed
Copyright Year	2014
Description	Author affiliation: Laboratoire d'Automatique et de Robotique, Faculté des Sciences de la Technologie, Université Constantine1, Algérie (Eddine, Dakkar Borhen; Fella, Hachouf) \|\| Computing Department, Khenchela university, France (Seghir, Zianou Ahmed)
Abstract	This paper presents a new concept of assessing image quality. It is based on support vector regression (SVR) fusion. Despite the variety of the proposed IQM measures, no efficient and sufficient measure gives good performance over different distortions. Motivated by this problem, a new measure for No reference Image Quality Assessment Based on SVR Fusion (NR BSVRF) is constituted. First, five recent no reference measures are selected to form a quality vector of an image, then the quality vector is fused via SVR. The SVR is trained to have a model that is used to predict the image quality. Obtained results are promising. They have shown better performance compared to existing No-reference image quality measures.
Starting Page	1
Ending Page	6
File Size	204571
Page Count	6
File Format	PDF
ISBN	9781479945726
DOI	10.1109/EUVIP.2014.7018390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Support vector machines Visualization Image Quality Assessment(IQA) Support vector regression (SVR) Transform coding Vectors Distortion measurement Fusion
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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