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Pathological motion detection for robust missing data treatment in degraded archived media |
CORRIGAN, DAVID; HARTE, NAOMI; KOKARAM, ANIL CHRISTOPHER
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This paper outlines an algorithm to improve the robustness of missing data treatment to pathological motion (PM). PM can cause misdiagnosis of clean image data as missing data. The proposed algorithm uses a probabilistic framework to jointly detect PM and missing data by exploiting more temporal information than is typically used for missing data detection and by exploiting the local smoothness assumption of motion fields. The results of the framework are compared to an equivalent missing data detector without PM detection and the framework is shown to prevent the misdiagnosis of missing data due to PM
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Keyword(s):
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archived media data treatment image data pathological motion detection; data treatment |
Publication Date:
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2006 |
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Type:
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Conference item |
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Peer-Reviewed:
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Yes |
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Language(s):
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English |
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Institution:
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Trinity College Dublin |
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Funder(s):
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Science Foundation Ireland |
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Citation(s):
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Corrigan, D. Harte, N. and Kokaram, A., Pathological motion detection for robust missing data treatment in degraded archived media, Image Processing, IEEE International Conference on Image Processing 2006, Atlanta, GA, 8-11 Oct. 2006, 2006, 621 - 624 |
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Alternative Title(s):
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Image Processing -IEEE International Conference on Image Processing 2006 |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://ieeexplore.ieee.org/iel5/4106439/4106440/04106606.pdf?tp=&isnumber=4106440&arnumber=4106606&punumber=4106439 |
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First Indexed:
2010-02-19 05:18:59 Last Updated:
2012-05-21 05:16:52 |
