DocumentCode :
2147150
Title :
Research on Remote Sensing Image Compression Based on Lifting Wavelet Transform
Author :
Han, Jian-wei ; Fang, Jian-dong
Author_Institution :
Inf. Eng. Coll., Inner Mongolia Univ. of Technol., Hohhot
fYear :
2008
fDate :
30-31 Dec. 2008
Firstpage :
205
Lastpage :
208
Abstract :
The real-time compression of the remote sensing image is one of a problem in urgent need of satellite remote sensing technology, the development of the compression method suitable for real-time remote sensing image has an important theoretical and practical value. In response to this problem, a fast compression method which is fit for remote sensing image is designed based on the features of decomposed image and the statistical analysis of the sub-images. The method uses different processing methods for the every sub-image compression after lifting wavelet. The sub-image with low frequency is compressed lossless by DPCM method, and the improved EZW coding and RLC method was used to compress the sub-images with high frequency. Through extensive experiments, the results show that the new compression method is more effective than the others. In addition, the new compression method is simple, and the memory requirement in the operation process is lower, and it is fit for parallel optimizing progress.
Keywords :
data compression; differential pulse code modulation; image coding; remote sensing; statistical analysis; tree codes; wavelet transforms; DPCM method; EZW coding; RLC method; differential pulse code modulation; embedded zero tree wavelet coding; image decomposition; lifting wavelet transform; remote sensing image compression; satellite remote sensing technology; statistical analysis; Aggregates; Costs; Educational institutions; Frequency; Image analysis; Image coding; Image storage; Remote sensing; Wavelet analysis; Wavelet transforms; EZW; lifting wavelet transform; remote sensing image compression; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
Conference_Location :
Three Gorges
Print_ISBN :
978-0-7695-3556-2
Type :
conf
DOI :
10.1109/MMIT.2008.22
Filename :
5089095
Link To Document :
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