NDLI: Quality index evaluation of videos based on fuzzy interface system

Content Provider	IET Digital Library
Author	Naji, Ali Al Lee, Sang Heon Chahl, Javaan
Abstract	Objective image quality assessment (IQA) is a challenge facing digital image and video processing systems because image quality is distorted during various applications, including restoration, compression, storage and transmission. Therefore, this study proposes a new methodology based on a fuzzy interface system called quality evaluation system (QES) to measure the total quality index (TQI) of input videos with many distorted situations. Nine quality metrics [peak signal-to-noise ratio, visual signal-to-noise ratio, weighted signal-to-noise ratio, structural similarity (SSIM), multi-scale SSIM, universal image quality index, visual information fidelity, information fidelity criterion and noise quality measure] were used as inputs for three fuzzy logic controller systems, and their outputs were set as inputs to another fuzzy logic controller system to obtain the TQI of the input video. This process contributes to obtain clear performance of the quality index of the input video despite the failure of some IQA methods in providing quality performance of the input video in some situations. The proposed QES is tested on four videos captured with different digital cameras under different noise levels. Furthermore, the authors evaluated the proposed QES on three databases (TID2008, TID2013 and LIVE) to improve the experimental results. In addition, the authors used wavelet decomposition and image de-noising to enhance the standard Eulerian video magnification technique. The proposed QES was also used to prove that the authors' magnification system has better magnification quality index than other magnification techniques.
Starting Page	292
Ending Page	300
Page Count	9
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 5, Apr (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0569
Journal	IET Image Processing
Publisher Date	2017-01-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Digital Image Processing System Fuzzy Control Fuzzy Interface System Fuzzy Logic Controller System Gaussian Noise Image Blurring Image Denoising Image Enhancement Image Quality Distortion Information Fidelity Criterion Integral Transforms LIVE Database Multiscale SSIM Noise Quality Measure Objective Image Quality Assessment Objective IQA Optical, Image And Video Signal Processing Peak Signal-to-noise Ratio Poisson Noise Quality Evaluation System Quality Performance Standard Eulerian Video Magnification Technique Statistics Structural Similarity TID2008 Database TID2013 Database Total Quality Index TQI Universal Image Quality Index Video Processing System Video Quality Index Evaluation Video Signal Processing Visual Information Fidelity Visual Signal-to-noise Ratio Wavelet Decomposition Wavelet Transform Weighted Signal-to-noise Ratio
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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