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26 March 1993 Multivalue processing of gray-level image
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
De-Chen Zhan and Jing-Chun Chen "Multivalue processing of gray-level image", Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); https://doi.org/10.1117/12.142203
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