Wavelet Transform-based Remote Sensing Image Compression

DOI

10.2991/isrme-15.2015.470How to use a DOI?

Keywords

Wavelet Transform;SPIHT;Remote Sensing Image Compression

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mei-shan Li
AU  - Yue Liu
AU  - Hong Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Wavelet Transform-based Remote Sensing Image Compression
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 2271
EP  - 2275
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.470
DO  - 10.2991/isrme-15.2015.470
ID  - Li2015/04
ER  -