Share Email Print

Proceedings Paper

The programming realization of image compression algorithm in satellite data compression equipment
Author(s): Jidong Wang; Wusheng Luo; Qin Lu; Xuemin Xiao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Satellite remote sensing image compression system is expected high compressing rate, real time dealing and high fidelity. Based on lapped biorthogonal transform (LBT) and its integer algorithm, this paper describes a fixed-point lapped transform algorithm using approximation to trigonometric function, studies the structure of LBT coefficients and presents a modified zerotree coding algorithm. Also, this paper studies the implementation in TMS320C6000 DSP of the algorithm, the processing speed is improved through task combining, complier options, software pipelining, loop unrolling and complex instruction. This algorithm has been used in a prototype of data compression equipment. Image coding experiments show that the algorithm's memory requirement is low and its coding performance is very competitive with SPIHT when its complexity is far lower than SHIHT.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67951L (10 November 2007); doi: 10.1117/12.773781
Show Author Affiliations
Jidong Wang, National Univ. of Defense Technology (China)
Wusheng Luo, National Univ. of Defense Technology (China)
Qin Lu, National Univ. of Defense Technology (China)
Xuemin Xiao, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

© SPIE. Terms of Use
Back to Top