Share Email Print

Proceedings Paper

Compression of the interferential multispectral image based on distributed source coding
Author(s): Juan Song; Yunsong Li; Chengke Wu; Ying Feng
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A novel compression method for interferential multispectral images based on distributed source coding is proposed. Slepian-Wolf and Wyner-Ziv theorems on source coding with side information are taken as the basic coding principles. In our system, a rate control solution is proposed to avoid the feedback channel used in many practical distributed source coding solutions. The residual statistics between corresponding coefficients in original frame and the side information frame is assumed to be modeled by Laplacian distribution. We estimate the distribution parameter on line at the encoder at subband levels. The experimental results show that our method outperforms significantly over JPEG2000, especially at medium and low bit rates, the method can obtain about 5dB gains than JPEG2000, and the subjective quality is obviously enhanced.

Paper Details

Date Published: 5 September 2008
PDF: 9 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840G (5 September 2008); doi: 10.1117/12.794351
Show Author Affiliations
Juan Song, Xidian Univ. (China)
Yunsong Li, Xidian Univ. (China)
Chengke Wu, Xidian Univ. (China)
Ying Feng, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

© SPIE. Terms of Use
Back to Top