NDLI: Blind quality assessment for JPEG2000 compressed images

Content Provider	IEEE Xplore Digital Library
Author	Sheikh, H.R. Wang, Z. Cormack, L. Bovik, A.C.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA (Sheikh, H.R.; Wang, Z.; Cormack, L.; Bovik, A.C.)
Abstract	Measurement of image quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. Traditionally, image quality assessment algorithms have focused on measuring image fidelity, where quality is measured as fidelity with respect to a 'reference' or 'perfect' image. The field of blind quality assessment has been largely unexplored. In this paper we present an algorithm for blindly determining the quality of JPEG2000 compressed images. Our algorithm assigns quality scores that are in good agreement with human evaluations. Our algorithm utilizes a statistical model for wavelet coefficients and computes features that exploit the fact that quantization produces more zero coefficients than expected for natural images. The algorithm is trained and tested on data obtained from human observers, and performs close to the limit on useful prediction imposed by the variability between human subjects.
Starting Page	1735
Ending Page	1739
File Size	311570
Page Count	5
File Format	PDF
ISBN	0780375769
ISSN	10586393
DOI	10.1109/ACSSC.2002.1197072
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality assessment Transform coding Image coding Humans Image quality Image restoration Wavelet coefficients Quantization Testing Performance evaluation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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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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