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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7271

Title: Color image denoising and contrast enhancement in contourlet domain
Authors: Melkamu, H. Asmare
Vijanth, S. Asirvadam
Lila Iznita
Keywords: Image enhancement;Thresholding;Contourlet transform;Wavelet transform;Transformation function;Image processing;Image denoised
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.2A9 1 - 2A9 5
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Abstract: A 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.
Description: Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/7271
Appears in Collections:Conference Papers

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Color Image Denoising.pdf1.23 MBAdobe PDFView/Open
Copyright transfer agreement.pdf439.51 kBAdobe PDFView/Open
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