Progressive and Controllable Fractal Image Decoding Algorithm
Zongwen Yuan, Yepin Lu, Xin-he Chen
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.46How to use a DOI?
- Fractal; Decoding; Compression mapping; Fixed point; Convergence; Progressive
- 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 .
- 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 -