| Monotonic Regression: A New Way For Correlating Subjective And Objective Ratings In Image Quality Research. | |
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MedLine Citation:
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PMID: 21984504 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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To assess the performance of image quality metrics (IQMs), some regressions, such as logistic regression and polynomial regression, are used to correlate objective ratings with subjective scores. However, some defects in optimality are shown in these regressions. In this correspondence, monotonic regression (MR) is found to be an effective correlation method in performance assessment of IQMs. Both theoretical analysis and experimental results have proven that MR performs better than any other regression. We believe MR could be an effective tool for performance assessment in image quality metric research. |
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Authors:
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Y Han; Y Cai; Y Cao; X Xu |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-06 |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: - ISSN: 1941-0042 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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