Title :
An Image Compression Improved Algorithm Based on the Combination of Fractal and Ant Colony Algorithm
Author :
Lou Li ; Liu Tianshi ; Li Yong
Author_Institution :
Sch. of Electron. & Inf., Northwest Polytech. Univ., Xi´an, China
Abstract :
A new image coding improved algorithm based on the combination of fractal and ant colony is proposed in this paper. The algorithm combines the feature of multi-resolution analysis of wavelet transformation and segments the original image to construct the searching space. After the class matching based on ant colony matching probability of range block and domain block, the average number of matching is reduced greatly. We apply the fractal predicting by the different block size according to the different texture feature of different orientation sub images. That makes improvement of fractal coding speeding up and realizes image compression. The experimental results indicate that the improved algorithm can decrease the fractal coding time greatly and achieve a higher compression rate.
Keywords :
ant colony optimisation; data compression; fractals; image coding; image matching; image resolution; image texture; search problems; wavelet transforms; ant colony matching probability; block size; class matching; domain block; fractal algorithm; image coding; image compression improved algorithm; multiresolution analysis; orientation sub images; range block; searching space; texture feature; wavelet transformation; Algorithm design and analysis; Clustering algorithms; Fractals; Image coding; Image segmentation; Wavelet transforms; Ant Colony; Fractal; Image Compression; Wavelet Decomposition;
Conference_Titel :
Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-1-4799-4262-6
DOI :
10.1109/ISDEA.2014.41