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Genetic image enhancement based on saturation feedback

Zheng, H., Pan, L., Xiang, Yong, Wong, A. and Nahavandi, Saeid 2003, Genetic image enhancement based on saturation feedback, in Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2001 : 28-30 November 2001, Singapore, CIRAS Organising Committee, Singapore.

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Title Genetic image enhancement based on saturation feedback
Author(s) Zheng, H.
Pan, L.
Xiang, Yong
Wong, A.
Nahavandi, Saeid
Conference name International Conference on Computational Intelligence, Robotics and Autonomous Systems (2001 : Singapore)
Conference location Singapore
Conference dates 15-18 December 2003
Title of proceedings Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2001 : 28-30 November 2001, Singapore
Editor(s) Vadakkepat, Prahlad
Wan, Tan Woei
Chen, Tan Kay
Poh, Loh Ai
Publication date 2003
Publisher CIRAS Organising Committee
Place of publication Singapore
Summary In this paper an adaptive approach for color image enhancement is proposed. In this approach, the saturation feedback technique is used as a means of supplementing color image shmpness and contrast. This technique of the saturation feedback can serve to bring out image details that have low luminance contrast. In the technique, the feedback parameters are the key component and are usually determined manually. In order to realize the adaptive color image enhancement, the genetic algorithm is employed to search global optimal parameters for saturation feedback automatically. The detailed procedures are described in the paper. Experimental results on color images show the feasibility of the proposed method.
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ISSN 0219-6131
Language eng
Field of Research 080106 Image Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, CIRAS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30004993

Document type: Conference Paper
Collections: School of Engineering and Technology
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