Sciweavers

Share
ARC
2008
Springer

Lossless Compression for Space Imagery in a Dynamically Reconfigurable Architecture

11 years 8 months ago
Lossless Compression for Space Imagery in a Dynamically Reconfigurable Architecture
Abstract. This paper presents a novel dynamically reconfigurable hardware architecture for lossless compression and its optimization for space imagery. The proposed system makes use of reconfiguration to support optimal modeling strategies adaptively for data with different dimensions. The advantage of the proposed system is the efficient combination of different compression functions. For image data, we propose a new multi-mode image model which can detect the local features of the image and use different modes to encode regions with different features. Experimental results show that our system improves compression ratios of space image while maintaining low complexity and high throughput.
Xiaolin Chen, Cedric Nishan Canagarajah, Raffaele
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ARC
Authors Xiaolin Chen, Cedric Nishan Canagarajah, Raffaele Vitulli, José L. Núñez-Yáñez
Comments (0)
books