Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest
We present an automatic focus area estimation method, working with a single image without a priori information about the image, the camera, or the scene. It produces relative focus maps by localized blind deconvolution and a new residual error-based classification. Evaluation and comparison is perfo...
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Published in | IEEE transactions on pattern analysis and machine intelligence Vol. 29; no. 6; pp. 1080 - 1085 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Los Alamitos, CA
IEEE
01.06.2007
IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | We present an automatic focus area estimation method, working with a single image without a priori information about the image, the camera, or the scene. It produces relative focus maps by localized blind deconvolution and a new residual error-based classification. Evaluation and comparison is performed and applicability is shown through image indexing |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0162-8828 1939-3539 2160-9292 |
DOI: | 10.1109/TPAMI.2007.1079 |