High Quality Image Compression for Rockets and Satellites

Installed communication systems for the more recent imagery rockets and satellites generally do not have sufficient data link bandwidth to allow imagery transmission. High quality image compression can alleviate this problem since 5 to 10 times more image data can be transmitted over existing communication systems. Researchers at Utah State University have developed a high quality image compression algorithm which has been denoted as "Statistically Lossless". This algorithm combines the good features of the well known vector quantization (VQ) compression and lossless compression. Results are presented in this paper in which different scientific imagery collection systems have been processed using the algorithm. In order to implement this algorithm, a CMOS VLSI chip has been produced which allows a VQ compression system to process 512 x 512 pixel images at a rate of 30 frames per second.

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Publication Details

Journal
Digital Commons - USU (Utah State University)
Published
2025-09-10
DOI
https://doi.org/10.26077/ys1z-p508
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

High Quality Image Compression for Rockets and Satellites

Paul Israelson, William Roark, Scott E. Budge, J. J. Sojka et al.
Digital Commons - USU (Utah State University)
Advanced Data Compression Techniques
article

High Quality Image Compression for Rockets and Satellites

Paul Israelson, William Roark, Scott E. Budge, J. J. Sojka, Richard W. Harris
article en

Abstract

Installed communication systems for the more recent imagery rockets and satellites generally do not have sufficient data link bandwidth to allow imagery transmission. High quality image compression can alleviate this problem since 5 to 10 times more image data can be transmitted over existing communication systems. Researchers at Utah State University have developed a high quality image compression algorithm which has been denoted as "Statistically Lossless". This algorithm combines the good features of the well known vector quantization (VQ) compression and lossless compression. Results are presented in this paper in which different scientific imagery collection systems have been processed using the algorithm. In order to implement this algorithm, a CMOS VLSI chip has been produced which allows a VQ compression system to process 512 x 512 pixel images at a rate of 30 frames per second.

Digital Commons - USU (Utah State University)
Utah State University (US), General Dynamics (United States) (US)
Affordable and clean energy
Advanced Data Compression Techniques
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