Title :
Color device characterization of electronic cameras by solving adaptive networks nonlinear least squares problems
Author :
Mizutani, Eiji ; Nishio, Kenichi ; Katoh, Naoya ; Blasgen, Michael
Author_Institution :
Dept. of Ind. Eng. & Oper. Res., California Univ., Berkeley, CA, USA
Abstract :
This paper describes an application of adaptive networks (AN) techniques to color device characterization, which can achieve color correction and compensation on the images taken by electronic imaging devices. We shall demonstrate AN´s nonlinear mapping capability and its generalization capacity in characterizing electronic cameras for enhancing color quality.
Keywords :
adaptive systems; cameras; compensation; generalisation (artificial intelligence); image sensors; least squares approximations; neural nets; adaptive networks nonlinear least squares problems; color compensation; color correction; color device characterization; electronic cameras; electronic imaging devices; nonlinear mapping capability; Adaptive systems; Cameras; Color; Image converters; Image sensors; Industrial electronics; Layout; Least squares methods; Printers; Signal processing;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793061
