Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest

Author

Kovács, Levente ; Szirányi, Tamás

Author_Institution

Dept. of Image Process. & Neurocomputing, Pannonia Univ.

Volume

29

Issue

6

fYear

2007

fDate

6/1/2007 12:00:00 AM

Firstpage

1080

Lastpage

1085

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

Keywords

deconvolution; feature extraction; image classification; indexing; automatic focus area estimation; blind deconvolution; focus area extraction; image indexing; residual error-based classification; Cameras; Data mining; Deconvolution; Focusing; Image retrieval; Image segmentation; Indexing; Layout; Optical distortion; Optical noise; Transform methods; feature representation; indexing methods; sharpening and deblurring; video retrieval.; Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Statistical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2007.1079

Filename

4160956