@inproceedings{840bca3d305f4c12bc05eab5979ea392,
title = "Research of neighborhood searching fractal image coding algorithm based on Ant Colony Optimization",
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 = "Ant Colony Optimization, Fractal Coding, Neighborhood, Range Block",
author = "Li Lou and Yong Li",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; SAI Intelligent Systems Conference, IntelliSys 2015 ; Conference date: 10-11-2015 Through 11-11-2015",
year = "2015",
month = dec,
day = "18",
doi = "10.1109/IntelliSys.2015.7361226",
language = "英语",
series = "IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "761--764",
booktitle = "IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference",
}