Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Progressive and Controllable Fractal Image Decoding Algorithm

Authors
Zongwen Yuan, Yepin Lu, Xin-he Chen
Corresponding Author
Zongwen Yuan
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.46How to use a DOI?
Keywords
Fractal; Decoding; Compression mapping; Fixed point; Convergence; Progressive
Abstract
Although faster image decoding method is more important and useful, in some special applications, the controllable decoding process may be required. In the case of making fixed point unchanged, the paper made the fixed parameters of compression mapping into variable parameters, adjusted these parameters to make process controllable. Experimental results showed that the traditional fractal image decoding required about 8 times iteration to convergence,in contrast to requiring about 36 times iteration to convergence in this paper. The decoding process could be flexibly controlled, and the algorithm could better show the details of the decoded image sequence, compared with the literature [4].
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.46How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zongwen Yuan
AU  - Yepin Lu
AU  - Xin-he Chen
PY  - 2015/06
DA  - 2015/06
TI  - Progressive and Controllable Fractal Image Decoding Algorithm
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.46
DO  - https://doi.org/10.2991/icecee-15.2015.46
ID  - Yuan2015/06
ER  -