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Fast computational scheme of image compression for 32-bit microprocessorsThis paper presents a new computational scheme of image compression based on the discrete cosine transform (DCT), underlying JPEG and MPEG International Standards. The algorithm for the 2-d DCT computation uses integer operations (register shifts and additions / subtractions only); its computational complexity is about 8 additions per image pixel. As a meaningful example of an on-board image compression application we consider the software implementation of the algorithm for the Mars Rover (Marsokhod, in Russian) imaging system being developed as a part of Mars-96 International Space Project. It's shown that fast software solution for 32-bit microprocessors may compete with the DCT-based image compression hardware.
Document ID
19950010777
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kasperovich, Leonid (Institute of Space Research Moscow, Ussr)
Date Acquired
September 6, 2013
Publication Date
November 1, 1994
Publication Information
Publication: NASA. Goddard Space Flight Center, Third International Symposium on Space Mission Operations and Ground Data Systems, Part 1
Subject Category
Computer Programming And Software
Accession Number
95N17192
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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