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Proceedings Paper

Multispectral Data Compression Using Staggered Detector Arrays
Author(s): Robert T. Gray; Bobby R. Hunt
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Paper Abstract

A multispectral image data compression scheme has been investigated in which a scene is imaged onto a detector array whose elements vary in spectral sensitivity. The elements are staggered such that the scene is undersampled within any single spectral band, but is sufficiently sampled by the total array. Compression thus results from transmitting only one spectral component of a scene at any given array coordinate. High-resolution reconstructions are achieved by a space-variant minimum-mean-square spectral regression estimate of the missing pixels of each band from the adjacent samples of other bands. Digital simulations show that spectral regressions of mosaic array data provide reconstruction errors comparable to second-order differential pulse code modulation (DPCM). When the mosaic data is itself encoded by DPCM, the accuracy of spectral regression is superior to direct DPCM for equivalent bit rates.

Paper Details

Date Published: 9 January 1984
PDF: 6 pages
Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); doi: 10.1117/12.936640
Show Author Affiliations
Robert T. Gray, University of Arizona (United States)
Bobby R. Hunt, University of Arizona (United States)


Published in SPIE Proceedings Vol. 0432:
Applications of Digital Image Processing VI
Andrew G. Tescher, Editor(s)

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