Pathological Motion Detection for Robust Missing Data Treatment

This paper presents a new missing data detection algorithm that is robust to pathological motion (PM). PM causes clean image data to be misdiagnosed as missing data, resulting in damage to the image during restoration. The proposed algorithm uses a probabilistic framework to jointly detect PM and mi...

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Published inEURASIP journal on advances in signal processing Vol. 2008; no. 1
Main Authors Corrigan, David, Harte, Naomi, Kokaram, Anil
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.01.2008
SpringerOpen
Subjects
Engineering
Quantum Information Technology
Research Article
Signal,Image and Speech Processing
Spintronics
Quantum Information
Miss Data
Detection Algorithm
Data Region
Ground Truth
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Abstract This paper presents a new missing data detection algorithm that is robust to pathological motion (PM). PM causes clean image data to be misdiagnosed as missing data, resulting in damage to the image during restoration. The proposed algorithm uses a probabilistic framework to jointly detect PM and missing data. It builds on an existing technique of using five frames for detection instead of the standard three frames. This allows the temporally impulsive intensity profile of blotches to be distinguished from the quasiperiodic profile of PM. Another diagnostic for PM is defined on the motion fields of the five-frame window. This follows the observation that PM results in motion fields which are not smooth. A ground truth comparison with standard missing data detectors shows that the proposed algorithm dramatically reduces the number of falsely detected missing data regions. It is also shown to reduce image damage during missing data treatment.
AbstractList This paper presents a new missing data detection algorithm that is robust to pathological motion (PM). PM causes clean image data to be misdiagnosed as missing data, resulting in damage to the image during restoration. The proposed algorithm uses a probabilistic framework to jointly detect PM and missing data. It builds on an existing technique of using five frames for detection instead of the standard three frames. This allows the temporally impulsive intensity profile of blotches to be distinguished from the quasiperiodic profile of PM. Another diagnostic for PM is defined on the motion fields of the five-frame window. This follows the observation that PM results in motion fields which are not smooth. A ground truth comparison with standard missing data detectors shows that the proposed algorithm dramatically reduces the number of falsely detected missing data regions. It is also shown to reduce image damage during missing data treatment.
ArticleNumber 542436
Author Kokaram, Anil
Corrigan, David
Harte, Naomi
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10.1006/ciun.1994.1008
10.1109/TIP.2005.854466
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Copyright David Corrigan et al. 2008. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Keywords Quantum Information
Miss Data
Detection Algorithm
Data Region
Ground Truth
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Snippet This paper presents a new missing data detection algorithm that is robust to pathological motion (PM). PM causes clean image data to be misdiagnosed as missing...
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Title Pathological Motion Detection for Robust Missing Data Treatment
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