DocumentCode
1450918
Title
An efficient bath fractal transform-based image coding technique
Author
Kumar, Sunil ; Rao, K. Nageshwar ; Mishra, R.R. ; Jain, R.C.
Author_Institution
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Volume
44
Issue
4
fYear
1998
fDate
11/1/1998 12:00:00 AM
Firstpage
1298
Lastpage
1308
Abstract
A computationally efficient image compression technique is presented, which is based on visual patterns as well as least squares fractal approximation by a self-affine system (SAS). Simulation studies demonstrate that the use of visual pattern-based technique can code the shade (flat) regions of an image more efficiently than fractal techniques. Furthermore, the proposed technique not only gives an encoding speed several times faster than other SAS-based fractal coding techniques but also achieves higher compression ratios and better fidelity
Keywords
data compression; fractals; image coding; image reconstruction; least squares approximations; transform coding; compression ratios; efficient bath fractal transform; encoding speed; flat regions; fractal coding; image coding; least squares fractal approximation; reconstructed image quality; self affine system; shade regions; simulation; visual patterns; Computational modeling; Fractals; Image coding; Image processing; Least squares approximation; Signal processing; Synthetic aperture sonar; Tiles; Video compression; Videoconference;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/30.735830
Filename
735830
Link To Document