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Proceedings Paper

Block Transform Image Compression By Power Spectrum Fitting
Author(s): Douglas J. Granrath
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Paper Abstract

A new approach to the quantization of discrete cosine transformed subimage data is discussed. It is shown that physical modeling of the sensor in combination with a power spectrum model of the scene leads to a direct means of generating the bit and variance maps necessary for coefficient quantization. Preliminary results indicate that good image quality can be maintained down to 1/4 bit-per-pixel, depending upon the Optical Transfer Function (OTF) and scene information content involved. A unique feature of this approach is that algorithm training is unnecessary since the bit and variance maps are computed directly from subimage data.

Paper Details

Date Published: 11 July 1985
PDF: 12 pages
Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946571
Show Author Affiliations
Douglas J. Granrath, Science Applications International Corporation (United States)


Published in SPIE Proceedings Vol. 0534:
Architectures and Algorithms for Digital Image Processing II
Francis J. Corbett, Editor(s)

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