DocumentCode :
2177506
Title :
Compression of color information in digitized images using an artificial neural network
Author :
Boggess, Julian Eugene, III ; Nation, Peter Boyd ; Harmon, Mance Edward
Author_Institution :
Dept. of Comput. Sci., Mississippi State Univ., MS, USA
fYear :
1994
fDate :
23-27 May 1994
Firstpage :
772
Abstract :
Digitized color images can convey a considerable amount of information, but they also may require a lot of space for storage. To save space, color images may be compressed. A number of different algorithms have been used to compress color images, but some of them lose significant information in the compression process. An artificial neural network technique, the Kohonen Map, is able to able to compress color images with little or no loss of significant color information
Keywords :
data compression; image coding; self-organising feature maps; Kohonen Map; artificial neural network; color images compression; color information; digitized images; Aerospace electronics; Artificial neural networks; Color; Computer science; Data compression; Displays; Electron guns; Image coding; Image storage; Intelligent networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1893-5
Type :
conf
DOI :
10.1109/NAECON.1994.332961
Filename :
332961
Link To Document :
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