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. Attached Files Name Description MIMEType Size Downloads zheng-geneticimage-2003.pdf Published version application/pdf 421.65KB 361 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. Notes Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au 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 Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 03 Dec 2008, 12:40:40 EST Mon, 19 Apr 2010, 13:46:44 EST Tue, 04 May 2010, 15:57:16 EST Tue, 04 May 2010, 15:58:24 EST Thu, 07 Apr 2011, 11:44:54 EST Wed, 05 Oct 2011, 10:35:53 EST Mon, 31 Oct 2011, 14:51:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 754 Abstract Views, 361 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:44:04 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.