Progressive and Controllable Fractal Image Decoding Algorithm

DOI

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].

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 203
EP  - 208
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.46
DO  - 10.2991/icecee-15.2015.46
ID  - Yuan2015/06
ER  -