DocumentCode
2749784
Title
Device-independent color correction for multimedia applications using neural networks and abductive modeling approaches
Author
Shastri, Vasant ; Rabel, L.C. ; Onjeyekwe, Egoddu
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
Volume
4
fYear
1996
fDate
3-6 Jun 1996
Firstpage
2176
Abstract
Although color has appeal for developers and consumers alike, color reproduction poses a major problem in many computer based applications inducting multimedia and desktop publishing. The problem arises because of device independence of color, and the way each device processes color. In order to control the error in porting color, different traditional techniques have been applied. In this paper the utilization of artificial neural networks as well as abductive modelling approaches to color error reduction are introduced from an RGB (red/green/blue) color model perspective. Analysis of the results and ongoing research issues are discussed
Keywords
colour graphics; image colour analysis; multimedia computing; neural nets; RGB color model; abductive modeling; color error reduction; color reproduction; device-independent color correction; multimedia; neural networks; Application software; Color; Computer aided manufacturing; Computer errors; Computer science; Error correction; Manufacturing systems; Multimedia systems; Neural networks; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549239
Filename
549239
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