Title :
Research of neighborhood searching fractal image coding algorithm based on Ant Colony Optimization
Author_Institution :
School of electronics and information, Northwest Polytechnical University, Xi´an 710072, China
Abstract :
A kind of fractal improved coding algorithms based on Ant Colony Optimization and neighborhood search matching way is presented in this paper. The compression ratio of this algorithm is higher than that of Jacquin´s as well as the coding speed is faster than that of Jacquin´s on the premise of similar signal-to-noise ratio. Experimental results show that the compression ratio of this neighborhood searching fractal image coding algorithm based on ant colony optimization can reach to 14.33, the PSNR can reach to 29.7dB, encoding time decreases to 120s and decoding time is 28s.
Keywords :
"Image coding","Fractals","Clustering algorithms","Ant colony optimization","Block codes","Image reconstruction","Approximation methods"
Conference_Titel :
SAI Intelligent Systems Conference (IntelliSys), 2015
DOI :
10.1109/IntelliSys.2015.7361226
