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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/5656
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dc.contributor.authorNg, Wing Taien_US
dc.date.accessioned2010-02-10T06:13:00Z
dc.date.accessioned2017-09-19T09:11:19Z
dc.date.accessioned2019-02-12T07:28:34Z-
dc.date.available2010-02-10T06:13:00Z
dc.date.available2017-09-19T09:11:19Z
dc.date.available2019-02-12T07:28:34Z-
dc.date.issued2009en_US
dc.identifier.other2009eenwt932en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/5656-
dc.description.abstractColor to grayscale conversion is one of the examples of special effects in color image processing. This project presents a new self-adjust contrast enhancing color to grayscale algorithm. In addition to dimensionality reduction and analyzing color difference by predominant component analysis techniques, it incorporates a novel method of image sampling and an auto-adjusting degree of image enhancement techniques. The algorithm has the advantages of give a greater contrast enhancement compare to the traditional color to grayscale algorithm and auto-adjust the degree of enhancement to give a more subtle image. This project gives extensive ranges of examples and comparison with the traditional algorithm, decolorize algorithm and our method.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleImage processing VIen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. Wu, Angus K M., Assessor: Dr. Chan, K Len_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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