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dc.contributor.authorMelkamu, H. Asmare
dc.contributor.authorVijanth, S. Asirvadam
dc.contributor.authorLila Iznita
dc.date.accessioned2009-11-13T01:59:13Z
dc.date.available2009-11-13T01:59:13Z
dc.date.issued2009-10-11
dc.identifier.citationp.2A9 1 - 2A9 5en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7271
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractA degraded image mainly has dark shadows, over bright regions and blurred details. These images are usually affected by noise. This paper proposes a method which tries to avoid this problems. Image denoised image is further treated by a uniquely designed new transfer function. it is used to treat the contourlet transform coefficients. The contourlet transform is a directional extension of wavelet transform thus its application has a profound effect in image enhancement application. The results found are encouraging. All important features of the image are kept with out introducing artifacts and color distortion. The results look more natural.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectImage enhancementen_US
dc.subjectThresholdingen_US
dc.subjectContourlet transformen_US
dc.subjectWavelet transformen_US
dc.subjectTransformation functionen_US
dc.subjectImage processingen_US
dc.subjectImage denoiseden_US
dc.titleColor image denoising and contrast enhancement in contourlet domainen_US
dc.typeWorking Paperen_US


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