A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of Methods for Determining Depth from Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
An adaptive Gaussian model for satellite image deblurring
IEEE Transactions on Image Processing
Isocentric color saliency in images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Single image defocus map estimation using local contrast prior
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Orthogonality based stopping condition for iterative image deconvolution methods
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Blurred image region detection and classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Harris function based active contour external force for image segmentation
Pattern Recognition Letters
Geometrical and textural component separation with adaptive scale selection
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
CLEF'12 Proceedings of the Third international conference on Information Access Evaluation: multilinguality, multimodality, and visual analytics
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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.