Progressive and Controllable Fractal Image Decoding Algorithm
Zongwen Yuan, Yepin Lu, Chen Xin-he · Advances in computer science research · 2015
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].