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
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