Lossless compression for space imagery in a dynamically reconfigurable architecture

X Chen; CN Canagarajah; R Vitulli; JL Nunez-Yanez

doi:10.1007/978-3-540-78610-8_38

Lossless compression for space imagery in a dynamically reconfigurable architecture

X Chen, CN Canagarajah, R Vitulli, JL Nunez-Yanez

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

9 Citations (Scopus)

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.

Translated title of the contribution	Lossless compression for space imagery in a dynamically reconfigurable architecture
Original language	English
Title of host publication	4th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (ARC 2008), London, UK
Publisher	Springer
Pages	336 - 341
Number of pages	6
ISBN (Print)	3540786090
DOIs	https://doi.org/10.1007/978-3-540-78610-8_38
Publication status	Published - 26 Mar 2008

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title = "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.",

author = "X Chen and CN Canagarajah and R Vitulli and JL Nunez-Yanez",

year = "2008",

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Lossless compression for space imagery in a dynamically reconfigurable architecture. / Chen, X; Canagarajah, CN; Vitulli, R et al.
4th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (ARC 2008), London, UK. Springer, 2008. p. 336 - 341.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - Lossless compression for space imagery in a dynamically reconfigurable architecture

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AU - Nunez-Yanez, JL

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AB - 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.

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M3 - Conference Contribution (Conference Proceeding)

SN - 3540786090

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EP - 341

BT - 4th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (ARC 2008), London, UK

PB - Springer

ER -

Lossless compression for space imagery in a dynamically reconfigurable architecture

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