Variable-rate multistage vector quantization of multispectral imagery with greedy bit allocation

Smita Gupta; Allen Gersho

doi:10.1117/12.158006

22 October 1993 Variable-rate multistage vector quantization of multispectral imagery with greedy bit allocation

Smita Gupta, Allen Gersho

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158006
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

Multispectral satellite images of the earth consist of sets of images obtained by sensing electromagnetic radiation in different spectral bands for each geographical region. We have applied a variable rate multistage vector quantizer for the compression of multispectral imagery. Spectral and spatial correlation are simultaneously exploited by forming vectors from 3-dimensional data blocks. The wide variation in entropy across the data set is efficiently exploited by an adaptive bit allocation algorithm based on a greedy approach where the rate- distortion trade-off is locally optimized for each successive encoding stage. Simulation results on an image set acquired by a Thematic Mapper scanner are presented. A substantial improvement is obtained over prior vector quantization based coders for multispectral data compression.

Citation Download Citation

Smita Gupta and Allen Gersho "Variable-rate multistage vector quantization of multispectral imagery with greedy bit allocation", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.158006

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