A LOSSLESS COMPRESSION ALGORITHM OF REMOTE SENSING IMAGE FOR SPACE APPLICATIONS

A LOSSLESS COMPRESSION ALGORITHM OF REMOTE SENSING IMAGE FOR SPACE APPLICATIONS

A simple and adaptive lossless compression algorithm is proposed for remote sensing image compression, which includes integer wavelet transform and the Rice entropy coder. By analyzing the probability distribution of integer wavelet transform coefficients and the characteristics of Rice entropy code...

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Veröffentlicht in:Journal of electronics (China) 2008, Vol.25 (5), p.647-651
Hauptverfasser: Sui, Yuping, Yang, Chengyu, Liu, Yanjun, Wang, Jun, Wei, Zhonghui, He, Xin
Format: Artikel
Sprache:eng
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Electrical Engineering
Engineering
整数离散小波变换
无损压缩
赖斯熵编码器
遥感图像
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container_end_page 651
container_issue 5
container_start_page 647
container_title Journal of electronics (China)
container_volume 25
creator Sui, Yuping
Yang, Chengyu
Liu, Yanjun
Wang, Jun
Wei, Zhonghui
He, Xin
description A simple and adaptive lossless compression algorithm is proposed for remote sensing image compression, which includes integer wavelet transform and the Rice entropy coder. By analyzing the probability distribution of integer wavelet transform coefficients and the characteristics of Rice entropy coder, the divide and rule method is used for high-frequency sub-bands and low-frequency one. High-frequency sub-bands are coded by the Rice entropy coder, and low-frequency coefficients are predicted before coding. The role of predictor is to map the low-frequency coefficients into symbols suitable for the entropy coding. Experimental results show that the average Comprcssion Ratio （CR） of our approach is about two, which is close to that of JPEG 2000. The algorithm is simple and easy to be implemented in hardware. Moreover, it has the merits of adaptability, and independent data packet. So the algorithm can adapt to space lossless compression applications.
doi_str_mv 10.1007/s11767-007-0075-3
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1993-0615
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subjects Electrical Engineering
Engineering
整数离散小波变换
无损压缩
赖斯熵编码器
遥感图像
title A LOSSLESS COMPRESSION ALGORITHM OF REMOTE SENSING IMAGE FOR SPACE APPLICATIONS
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