DocumentCode :
2261032
Title :
Aerial Remote Sensing Image Compression Based on Modified CDF97 Lifting Scheme
Author :
Sui, Xinxin ; QIN, Qiming ; Jin, Chuan ; Sun, Yumei
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
648
Lastpage :
652
Abstract :
In this paper, lifting scheme is adopted for aerial image compression and modified CDF97 (MCDF97) wavelet is put forward as wavelet kernel. MCDF97 lifting algorithm improves defect that five lifting coefficients of CDF97 wavelet are all irrational numbers. The compression performance of MCDF97 wavelet is almost the same as that of the CDF97 wavelet, but the algorithm based on MCDF97 wavelet reduces operation memory, decreases complexity and accelerates the processing speed. After wavelet transform of aerial images, set partitioning in hierarchical trees (SPIHT) coding is adopted to quantize and code the wavelet coefficients. Experimental results indicate that this compression algorithm greatly improves compression efficiency of aerial images, and meets the requirement of aerial compression system for storage, operation time and hardware implement.
Keywords :
data compression; image coding; remote sensing; trees (mathematics); wavelet transforms; MCDF97 wavelet; aerial remote sensing image compression; modified CDF97 lifting scheme; operation memory; set partitioning in hierarchical trees; Acceleration; Compression algorithms; Hardware; Image coding; Image storage; Kernel; Partitioning algorithms; Remote sensing; Wavelet coefficients; Wavelet transforms; MCDF97 wavelet; SPIHT coding; aerial remote sensing platform; remote sensing image compression; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.179
Filename :
4739652
Link To Document :
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