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Proceedings Paper

An image quality assessment algorithm used for JPEG compressed image
Author(s): Ruiling Li; Qingmei Huang; Yan Lu
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Paper Abstract

Theoretically speaking, image quality assessment algorithms are design to evaluate all kind of distorted images. However, as the JPEG compressed image dramatically distinguished from images with white noise, every distortion type has its own characteristic. A new method is proposed based on the characteristic of JPEG compressed image, witch correlated well with the subjective result.

Paper Details

Date Published: 28 November 2007
PDF: 8 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330E (28 November 2007); doi: 10.1117/12.756394
Show Author Affiliations
Ruiling Li, Beijing Institute of Technology (China)
Qingmei Huang, Beijing Institute of Technology (China)
Yan Lu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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