Paper
2 April 2010 High speed and bi-mode image compression core for onboard space application
Huaichao Wang, Jun Chen, Xiaodong Gu, Xiaomin Chen
Author Affiliations +
Proceedings Volume 7651, International Conference on Space Information Technology 2009; 765122 (2010) https://doi.org/10.1117/12.855238
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China
Abstract
This paper presents a bi-mode, high performance Discrete Wavelet Transform-based image compression core for future spacecrafts and micro-satellites. The hardware solution proposed here exploits an optimized CCSDS IDC algorithm and consists of a lossless mode and a lossly mode. The throughput of the core is improved 40 times using parallel architecture and pipeline technique, and a data rate of about 12.5M pixles/s can be sustained at 50MHz for the lossly mode. The experimental results indicate that this core has high performance at coding efficiency, data rate and error containment for both of the two modes.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huaichao Wang, Jun Chen, Xiaodong Gu, and Xiaomin Chen "High speed and bi-mode image compression core for onboard space application", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 765122 (2 April 2010); https://doi.org/10.1117/12.855238
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Discrete wavelet transforms

Image compression

Computer programming

Wavelets

Image segmentation

Logic

Space operations

RELATED CONTENT

Implication of variable code block size in JPEG 2000 and...
Proceedings of SPIE (January 28 2008)
Spatial quantization via local texture masking
Proceedings of SPIE (March 18 2005)
Q wave a flexible and low complexity quadtree wavelet...
Proceedings of SPIE (December 04 2000)
Steganography using wavelet compressed images
Proceedings of SPIE (August 01 2001)
Intelligent bandwidth compression
Proceedings of SPIE (October 18 1999)
On the use of directional transforms for still image coding
Proceedings of SPIE (September 23 2011)

Back to Top