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Proceedings Paper

Rapid enhancement and compression of image data
Author(s): Nikhil Balram; Jose M. F. Moura
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Paper Abstract

Recently, we have presented a recursive framework for noncausal Gauss Markov Random Fields (GMRF) defined on finite lattices. This framework readdresses the issue of recursiveness in 2-D signal processing, providing the means to attain the computational advantages of recursive processing without sacrificing the noncausality of the image model. We present here results on the application of this framework to two areas, image enhancement and image compression.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50325
Show Author Affiliations
Nikhil Balram, Carnegie Mellon Univ. (United States)
Jose M. F. Moura, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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