DocumentCode
457452
Title
Compressed Image Quality Evaluation using Power Law Models
Author
Caron, Y. ; Makris, Prodromos ; Vincent, Nicole
Author_Institution
Lab. d´Informatique, Univ. de Tours France
Volume
3
fYear
0
fDate
0-0 0
Firstpage
657
Lastpage
660
Abstract
This paper presents a compressed image quality measure based on the properties of Zipf law, which is a power-law model adapted from linguistic analysis. It describes the frequency distribution of image patterns, and can be used to put into evidence image details which are affected by compression. Two image quality evaluation measures based on Zipf law have been proposed and tested, one designed to be used on JPEG images and the other on JPEG2000 images. These measures have also been used with the tabu search algorithm for automatic compression optimization
Keywords
data compression; image coding; optimisation; search problems; JPEG images; JPEG2000 images; Zipf law; automatic compression optimization; compressed image quality evaluation; power law models; tabu search; Compression algorithms; Distortion measurement; Frequency; Humans; Image analysis; Image coding; Image quality; Image storage; Testing; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.398
Filename
1699611
Link To Document