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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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2007-06, Vol.29 (6), p.1080-1085
Main Authors: Kovacs, L., Sziranyi, T.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial Intelligence
Blinds
Cameras
Classification
Computer science
control theory
systems
Computer Simulation
Data mining
Deconvolution
Exact sciences and technology
feature representation
Focusing
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image retrieval
Image segmentation
Indexing
indexing methods
Information Storage and Retrieval - methods
Information systems. Data bases
Intelligence
Layout
Memory organisation. Data processing
Models, Statistical
Optical distortion
Optical noise
Pattern analysis
Pattern Recognition, Automated - methods
Pattern recognition. Digital image processing. Computational geometry
Reproducibility of Results
Sensitivity and Specificity
sharpening and deblurring
Software
Transform methods
video retrieval
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Description
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
ISSN:0162-8828
1939-3539
2160-9292
DOI:10.1109/TPAMI.2007.1079