Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest

@article{citeulike:1259958, 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.}, author = {Kovacs, Levente and Sziranyi, Tamas }, citeulike-article-id = {1259958}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {blind, deconvolution, focus}, number = {6}, pages = {1080--1085}, posted-at = {2007-04-27 12:47:55}, priority = {2}, title = {Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4160956}, volume = {29}, year = {2007} }

TY - JOUR ID - citeulike:1259958 L3 - citeulike-article-id:1259958 TI - Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on VL - 29 IS - 6 SP - 1080 EP - 1085 N2 - 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. KW - blind KW - deconvolution KW - focus AU - Kovacs, Levente AU - Sziranyi, Tamas PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4160956 ER -