Aerial Remote Sensing Image Compression Based on Modified CDF97 Lifting Scheme

被引:3
|
作者
Sui, Xinxin [1 ]
Qin, Qiming [1 ]
Jin, Chuan [1 ]
Sun, Yumei [1 ]
机构
[1] Peking Univ, Inst Remote Sensing, Beijing 100871, Peoples R China
关键词
D O I
10.1109/IITA.2008.179
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:648 / +
页数:2
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