An enhanced space-qualified downlink image compression ASIC for commercial remote sensing applications

Brower, Bernard V.; Lan, Austin; Cosgrove, Michael A.; Lewis, D. H.; VanLare, Glenn R.

doi:10.1117/12.453881

Cited by 3 publications

(3 citation statements)

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“…The DSP architecture Kodak developed for the digital cameras in Space Imaging's IKONOS [10] and DigitalGlobe's QuickBird2 [11] Earth-imaging satellites centers around a proprietary adaptive differential-pulse-code modulation (ADPCM) compression application-specific integrated circuit (ASIC) [12], [13] and a proprietary rate buffer controller (RBC) ASIC. Fig.…”

Section: An Example Of An Imaging-system Dsp Architecturementioning

confidence: 99%

Using a system-level bit-error-rate model to predict on-orbit performance

Cosgrove

2003

IEEE Trans. Nucl. Sci.

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Component single-event upset (SEU) rates are used to model and predict system bit-error rate (BER) performance in trade and specification verification analyses. Simplifying trade studies involving component cost, delivery-time reductions, and part substitution effects are important benefits.Index Terms-Bit-error rate (BER), bit-error-rate (BER) specifications, bit-error-rate (BER) verification methods, component trades, image processing, ionizing radiation, radiation effects, single-event effects (SEEs), single-event functional interrupts (SEFIs), soft-error rate (SER).

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Section: An Example Of An Imaging-system Dsp Architecturementioning

confidence: 99%

Using a system-level bit-error-rate model to predict on-orbit performance

Cosgrove

2003

IEEE Trans. Nucl. Sci.

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“…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%

“…Several generations of adaptive differential pulse code compression (ADPCM) schemes have been successful at providing good compression ratios, visually lossless quality, and relatively low computational complexity 4 . The current work addresses increasing the imagery bit depth, such as from 11 bits to 14 bits.…”

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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