Lossless Compression for Space Imagery in a Dynamically Reconfigurable Architecture

Autor:	Xiaolin Chen, C. Nishan Canagarajah, Raffaele Vitulli, Jose L Nunez-Yanez
Rok vydání:	2008
Předmět:	Lossless compression Texture compression Computer engineering Computer science Real-time computing Compression ratio Control reconfiguration Lossy compression Throughput (business) Image compression Data compression
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540786092 ARC
DOI:	10.1007/978-3-540-78610-8_38
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3ed756ae19e1be93c38e27483f999e84 https://doi.org/10.1007/978-3-540-78610-8_38 Zobrazit plný text záznamu