Focus area extraction by blind deconvolution for defining regions of interest

Levente Kovács; Tamás Szirányi

doi:10.1109/TPAMI.2007.1079

Focus area extraction by blind deconvolution for defining regions of interest

IEEE Trans Pattern Anal Mach Intell. 2007 Jun;29(6):1080-5. doi: 10.1109/TPAMI.2007.1079.

Authors

Levente Kovács¹, Tamás Szirányi

Affiliation

¹ Department of Image Processing and Neurocomputing, University of Pannonia, Egyetem u. 10, Veszprem, H-8200 Hungary. kla@vision.vein.hu

PMID: 17431304
DOI: 10.1109/TPAMI.2007.1079

Abstract

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.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence*
Computer Simulation
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Information Storage and Retrieval / methods
Models, Statistical
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity