Title :
A Compression Algorithm of Hyperspectral Image Based on the Eight-Fork Tree Division and Three-Dimensional Fractal Coding
Author :
Pan Wei ; Zou Yi ; Ao Lu ; Liu Zhi-Zhan
Author_Institution :
Dept. of Automatization, Xiamen Univ., Xiamen
Abstract :
In order to achieve a high compression ratio on hyperspectrum image, in this paper, an algorithm about 3-D fractal coding is proposed. This algorithm is based on fractal theory and eight fork tree division. We expand the eight kinds of fractal transform to nineteen in the 3-D space, which improves the matching accuracy, and accelerate the encoding process by using the eight-fork tree division and the cube block classification. A simulation was done on MATLAB 7.1, the experimental results demonstrate this algorithm has some practical sense.
Keywords :
data compression; geophysical signal processing; image classification; image coding; image matching; transforms; MATLAB 7.1; compression algorithm; cube block classification; eight-fork tree division; fractal theory; hyperspectral image; three-dimensional fractal coding; Acceleration; Classification tree analysis; Compression algorithms; Discrete wavelet transforms; Fractals; Hyperspectral imaging; Hyperspectral sensors; Image coding; Karhunen-Loeve transforms; MATLAB;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.606