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An adaptive-search residual vector quantizer for airborne reconnaissance

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2 Author(s)
Budge, S.E. ; Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA ; Peel, C.B.

A lossy image compression algorithm designed for high-speed, high quality data applications is described. The algorithm consists of a vector quantizer followed by a modified Huffman entropy encoder. The quantizer is a mean-removed, adaptive-search, residual vector quantizer. A few details of a high-speed hardware implementation for reconnaissance are given, as well as an example of the performance of two variations of the algorithm

Published in:

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:6 )

Date of Conference:

2000