Entropy improvement for fractal image coder
Joint Authors
Jeng, Jyh-Horng
Hsu, Shuo-Li
Chang, Yukon
Source
The International Arab Journal of Information Technology
Issue
Vol. 9, Issue 5 (30 Sep. 2012)9 p.
Publisher
Publication Date
2012-09-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Fractal Image Coder (FIC) makes use of the self-similarity inside a natural image to achieve high compression ratio and maintain good image quality.
In FIC, the most important factor affecting the compression ratio and the image quality is the quantization of the contrast scaling and brightness offset coefficients.
Most quantization methods treat the two coefficients independently and quantize them separately.
However, the two coefficients are highly correlated and scatter around a line.
In this paper, a joint coefficient quantization method is proposed that considers the two coefficients together and thereby achieves better compression ratio and image quality.
The proposed method is especially effective under parsimonious conditions.
For example, using only 3 bits each to represent the contrast and brightness coefficients of Lena, the proposed method yields quality of 27.04 dB, which is significantly better than 22.87 dB obtained from the traditional linear quantization method.
American Psychological Association (APA)
Jeng, Jyh-Horng& Hsu, Shuo-Li& Chang, Yukon. 2012. Entropy improvement for fractal image coder. The International Arab Journal of Information Technology،Vol. 9, no. 5.
https://search.emarefa.net/detail/BIM-305096
Modern Language Association (MLA)
Jeng, Jyh-Horng…[et al.]. Entropy improvement for fractal image coder. The International Arab Journal of Information Technology Vol. 9, no. 5 (Sep. 2012).
https://search.emarefa.net/detail/BIM-305096
American Medical Association (AMA)
Jeng, Jyh-Horng& Hsu, Shuo-Li& Chang, Yukon. Entropy improvement for fractal image coder. The International Arab Journal of Information Technology. 2012. Vol. 9, no. 5.
https://search.emarefa.net/detail/BIM-305096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-305096