A High-Rate JPEG2000 Compression System for Space

Buren, Damon Van

doi:10.1109/aero.2005.1559540

Cited by 8 publications

(5 citation statements)

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“…Generally, the JPEG 2000 algorithm is computationally demanding, especially in the context of on-board spacecraft, where the implementation constraints are stiff. To the authors knowledge, there is only one hardware implementation of JPEG 2000 designed for space constraints [14]. In his paper, Van Buren admits that his solution performs significantly lower than Kakadu in the lossless case due to the absence of rate-distortion optimization.…”

Section: Jpeg 2000 For Hyperspectral Datamentioning

confidence: 99%

Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding

Christophe

Mailhes

Duhamel

2008

IEEE Trans. on Image Process.

116

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Hyperspectral images present some specific characteristics that should be used by an efficient compression system. In compression, wavelets have shown a good adaptability to a wide range of data, while being of reasonable complexity. Some wavelet-based compression algorithms have been successfully used for some hyperspectral space missions. This paper focuses on the optimization of a full wavelet compression system for hyperspectral images. Each step of the compression algorithm is studied and optimized. First, an algorithm to find the optimal 3-D wavelet decomposition in a rate-distortion sense is defined. Then, it is shown that a specific fixed decomposition has almost the same performance, while being more useful in terms of complexity issues. It is shown that this decomposition significantly improves the classical isotropic decomposition. One of the most useful properties of this fixed decomposition is that it allows the use of zero tree algorithms. Various tree structures, creating a relationship between coefficients, are compared. Two efficient compression methods based on zerotree coding (EZW and SPIHT) are adapted on this near-optimal decomposition with the best tree structure found. Performances are compared with the adaptation of JPEG 2000 for hyperspectral images on six different areas presenting different statistical properties.

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Section: Jpeg 2000 For Hyperspectral Datamentioning

confidence: 99%

Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding

Christophe

Mailhes

Duhamel

2008

IEEE Trans. on Image Process.

116

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“…JPEG 2000 offers excellent compression rates, flexible access to the compressed data, and subtle control of image quality tradeoffs. However, it requires significantly more processing power than previous algorithms 7,8 .…”

Section: Introductionmentioning

confidence: 98%

“…Several generations of algorithms have been used, including Rice lossless compression 1 , adaptive differential coding 2,3,4 , and more recently, variations on JPEG 5 and JPEG 2000 6,7 . JPEG 2000 offers excellent compression rates, flexible access to the compressed data, and subtle control of image quality tradeoffs.…”

Section: Introductionmentioning

confidence: 99%

Low-complexity image compression with scalable quality control

Pillman

Napoli

2014

SPIE Proceedings

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The Rice algorithm is a standard for numerically lossless image compression, especially for space applications, as described by the Consultative Committee for Space Data Systems. It is remarkably simple and adaptable and delivers effective compression for a wide range of signals. The present work investigates an extension of the standard Rice algorithm to support lossy compression, referred to as Enhanced Rice, or ERICE. The extended system allows compression to scale gracefully from numerically lossless to visually lossy and is only slightly more complex than the numerically lossless system.

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“…This makes the implementation of JPEG2000 on space qualified integrated circuits particularly challenging. At the time this paper is written and to the best of our knowledge, there have been very few attempts for an implementation of JPEG2000 on field programmable gate array (FPGA) [13,15] and still none on space qualified application-specific integrated circuits (ASIC). Facing this implementation problem, the CCSDS has issued in 2005 a new recommendation for on-board data compression: the CCSDS Image Data Compression (IDC) algorithm [1,14].…”

Section: Introductionmentioning

confidence: 99%

Satellite image compression by concurrent representations of wavelet blocks

et al. 2011

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This paper proposes a complete compression and coding scheme for on-board satellite applications considering the main on-board constraints: low computational power and easy bit rate control. The proposed coding scheme improves the performance of the current Consultative Committee for Space Data Systems (CCSDS) recommendation for a low additional complexity. We consider post-transforms in the wavelet domain, select the best representation for each block of wavelet coefficients, and encode it into an embedded bit stream. After applying a classical wavelet transform of the image, several concurrent representations of blocks of wavelet coefficients are generated. The best representations are then selected according to a ratedistortion criterion. Finally, a specific bit-plane encoder derived from the CCSDS recommendation produces an embedded bit stream ensuring the easy rate control required. In this article, both the post-transforms and This work has been carried out under the financial support of the French space agency CNES (www.cnes.fr) and NOVELTIS company (www.noveltis.fr).X. Delaunay NOVELTIS, Parc technologique du canal, 2 av. de l'Europe, the best representation selection have been adapted to the low complexity constraint, and the CCSDS coder has been modified to compress post-transformed representations.

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A High-Rate JPEG2000 Compression System for Space

Cited by 8 publications

References 0 publications

Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding

Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding

Low-complexity image compression with scalable quality control

Satellite image compression by concurrent representations of wavelet blocks

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