| Peer group image enhancement. | |
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MedLine Citation:
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PMID: 18249624 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Peer group image processing identifies a "peer group" for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide direct control over which image features are selectively enhanced: area (number of pixels in the feature) and window diameter (window size needed to enclose the feature). A discussion is given of how these parameters determine which features in the image are smoothed or preserved. We show that the Fisher discriminant can be used to automatically adjust the peer group averaging (PGA) parameters at each point in the image. This local parameter selection allows smoothing over uniform regions while preserving features like corners and edges. This adaptive procedure extends to multilevel and color forms of PGA. Comparisons are made with a variety of standard filtering techniques and an analysis is given of computational complexity and convergence issues. |
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Authors:
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C Kenney; Y Deng; B S Manjunath; G Hewer |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: 10 ISSN: 1057-7149 ISO Abbreviation: IEEE Trans Image Process Publication Date: 2001 |
Date Detail:
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Created Date: 2008-02-05 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: United States |
Other Details:
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Languages: eng Pagination: 326-34 Citation Subset: - |
Affiliation:
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Dept. of Electr. and Comput. Eng., California Univ., Santa Barbara, CA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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