Robust CCSDS Image Data to JPEG2K Transcoding

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNG06LA00C
Agency Tracking Number: 055189
Amount: $69,986.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solitcitation Year: 2005
Solitcitation Topic Code: O1.01
Solitcitation Number: N/A
Small Business Information
Cybernet Systems Corporation
727 Airport Boulevard, Ann Arbor, MI, 48108-1639
Duns: 197187602
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Chris Lomont
 Principal Investigator
 (734) 668-2567
 clomont@cybernet.com
Business Contact
 Daniel Jarrell
Title: Business Official
Phone: (734) 668-2567
Email: djarrell@cybernet.com
Research Institution
N/A
Abstract
Images from space satellites, whether deep space or planetary, are often compressed in a lossy manner to ease transmission requirements such as power, error-rate, and data stream size. These requirements differ from standard computer image processing requirements since storage space, processing speed, and power constraints differ between PCs and satellites. To facilitate use of satellite images in other applications such as data dissemination, image analysis, image storage and retrieval, etc., a method is needed to convert satellite images to a more widely supported format. However, since many formats lose information ("lossy" compression), too many transcodings, poorly performed transcodings, or transcodings between poorly chosen formats will degrade image quality, sometimes making them useless. Images such as military photos and deep space objects require high quality, so it is desirable to avoid or minimize loss during transcodings. NASA has requested software transcoding from the CSSDS Image Data Compression recommendation to JPEG2000 with minimal image degradation. This proposal shows how Cybernet will approach this conversion, obtaining a minimal or zero loss in image fidelity, through mathematical analysis and careful software construction. This will be shown to be possible due to the specific wavelet compression techniques used in the two formats.

* information listed above is at the time of submission.

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