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Proceedings Paper

An Image Transform Coding Algorithm Based On A Generalized Correlation Model
Author(s): Stuart M. Melzer
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Paper Abstract

Image transform coding is a technique whereby a sampled image is divided into blocks. A two-dimensional discrete transform of each block is taken, and the resulting transform coefficients are coded. Coding of the transform coefficients requires their quantization and, consequently, a model for the transform coefficient variances that is based in turn on a correlation model for the image blocks. In the proposed correlation model each block of image data is formed by an arbitrary left and right matrix multiplication of a stationary white matrix. One consequence of this correlation model is that the transform coefficient variances are product separable in row and column indexes. The product separable model for the transform coefficient variances forms the basis of a transform coding algorithm. The algorithm is described and tested on real sampled images.

Paper Details

Date Published: 7 December 1978
PDF: 9 pages
Proc. SPIE 0149, Digital Image Processing II, (7 December 1978); doi: 10.1117/12.956687
Show Author Affiliations
Stuart M. Melzer, The Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0149:
Digital Image Processing II
Andrew G. Tescher, Editor(s)

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