Title :
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.
fDate :
6/1/2007 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.1079
