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ABSTRACT
Title |
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Identification and Removal of Impulsive noise using Hypergraph Model |
Authors |
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Karibasappa K.G, K. Karibasappa |
Keywords |
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Hypergraph, Noise, Neighborhood, Segmentation, Homogeneous regions |
Issue Date |
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November 2010. |
Abstract |
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Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image, prior knowledge about the nature of noise must be known other wise noise removal causes the image blurring. Identifying nature of noise is a challenging problem. Many researchers have proposed their ideas on image denoising and each of them has its assumptions, advantages and limitations. In this paper, we are proposing a new algorithm for identifying and removing the impulsive noise using hypergraph concept. |
Page(s) |
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2666-2669 |
ISSN |
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0975–3397 |
Source |
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Vol. 2, Issue.08 |
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