An Improved On-Board Post-Transform Image Compression Algorithm

DOI

10.2991/mecae-17.2017.30How to use a DOI?

Keywords

Post-Transformation, On-Image Compression, Entropy Coding.

Abstract

The shortcomings of sparse representation of remote sensing images and the on-board post -transform-based image compression algorithm are analyzed. In this paper, an improved post-transform based compression algorithm is proposed. The algorithm is improved in terms of computational complexity, optimal post-transform basis selection and post-transform entropy coding algorithm. Experimental results show that the improved compression algorithm has higher compression performance, compared with the traditional compression algorithm, the SNR is improved 0.3-1.1dB. Which effectively solves the problem of sparse representation of wavelet transform and low efficiency of post-transform. And suitable for on-board CCD camera applications.

Copyright

© 2017, 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  - Lei Shi
AU  - Weina Liu
PY  - 2017/03
DA  - 2017/03
TI  - An Improved On-Board Post-Transform Image Compression Algorithm
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 163
EP  - 167
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.30
DO  - 10.2991/mecae-17.2017.30
ID  - Shi2017/03
ER  -