Wavelet Transform-based Remote Sensing Image Compression

被引：0
|
作者：
Li, Mei-shan [1 ]
Liu, Yue [1 ]
Zhang, Hong [2 ]
机构：
[1] Jiamusi Univ, Coll Informat Sci & Elect Technol, Jiamusi 154007, Peoples R China
[2] Jiamusi Univ, Grad Sch, Jiamusi 154007, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷
关键词：
Wavelet Transform; SPIHT; Remote Sensing Image Compression;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
After analyzing characteristics of remote sensing images, the Fourier transform and wavelet transform are studied in this paper. It is found that the wavelet transform provides excellent properties and is more suited for image compression. Therefore, the wavelet transform is used to perform three-level decomposition on images. Next, SPIHT, an embedded encoding algorithm, is used to effectively compress remote sensing images. Extensive simulations show that this algorithm greatly outperform the traditional compression algorithms in terms of peak signal noise ratio (PSNR) and the quality of reconstructed images.
引用
收藏
页码：2271 / 2275
页数：5
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