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Volume: 7 | Article ID: art00061
Image
Channel Reduction and Applications to Image Processing
Hans B. Wach
Edward R. Dowski
W. Thomas Cathey
  DOI :  10.2352/CIC.1999.7.1.art00061  Published Online :  January 1999
Abstract

A method of channel reduction is presented which reduces the amount of data to be processed during spatial image processing. Using a modified principal component analysis on non-overlapping blocks of an image, the spatial and spectral information in an image can be separated with very little loss. The processing need be applied only to the spatial information and the color information added after processing.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.1999.7.1.art00061
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Hans B. Wach, Edward R. Dowski, W. Thomas Cathey, "Channel Reduction and Applications to Image Processing"  in Proc. IS&T 7th Color and Imaging Conf.,  1999,  pp 317 - 320,  https://doi.org/10.2352/CIC.1999.7.1.art00061

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 1999
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19990101)1999:1L.317;1-
cic_v1999n1/splitsection61.xml
/ist/cic/1999/00001999/00000001/art00061
Articles
Channel Reduction and Applications to Image Processing
WachHans B.
DowskiEdward R.
Jr.
CatheyW. Thomas
01011999
1999
1
317
320
1999
A method of channel reduction is presented which reduces the amount of data to be processed during spatial image processing. Using a modified principal component analysis on non-overlapping blocks of an image, the spatial and spectral information in an image can be separated with very little loss. The processing need be applied only to the spatial information and the color information added after processing.