NDLI: An evaluation of quality metrics for compressed images based on human visual sensitivity

Content Provider	IEEE Xplore Digital Library
Author	Eude, T. Mayache, A.
Copyright Year	1998
Description	Author affiliation: Le2i, Bourgogne Univ., Dijon, France (Eude, T.)
Abstract	It is generally believed that the performance of current image coding techniques is not close enough to the fundamental limit on the bit rate at which high reception quality is maintained. For supporting the future applications that demand high image quality at very low bit rates, more efficient coding algorithms are expected. Among numerous approaches to reach this optimality, perceptual coding that matches the compression algorithm to the human perception mechanism has been considered as the most promising solution, and has recently become an important area of research. In addition to the investigation on perceptual coding, the need for a distortion metric for predicting the distortion has long been recognized in the image processing community. For still image evaluation, several distortion measures tied to some psycho-visual properties have been proposed. Examples of such measures are to be found in the literature. One significant problem associated with these metrics is that there is little information on how these measures perform in comparison to one another. The purpose of this paper is to provide a rigorous evaluation of four metrics which are designed for the evaluation of coded achromatic still images.
Starting Page	779
Ending Page	782
File Size	399744
Page Count	4
File Format	PDF
ISBN	0780343255
DOI	10.1109/ICOSP.1998.770327
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Distortion measurement Bit rate Image quality Compression algorithms Humans Image recognition Image processing Psychology Performance evaluation
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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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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