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Proceedings Paper

Multivalue processing of gray-level image
Author(s): De-Chen Zhan; Jing-Chun Chen
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Paper Abstract

Multivalue processing of gray-level image is to transform an image with l gray levels into an image with k gray levels where k is always less than l. In this paper, a new novel, flexible multivalue method based on the selection of varied local extreme points ((delta) -extreme) on gray histograms of the image is proposed and discussed. Several experimental results are given out in the paper to show that this algorithm is very effective, especially for those images with flat histograms.

Paper Details

Date Published: 26 March 1993
PDF: 7 pages
Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); doi: 10.1117/12.142203
Show Author Affiliations
De-Chen Zhan, Harbin Institute of Technology (China)
Jing-Chun Chen, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 1819:
Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II
Mark J. Carlotto, Editor(s)

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