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» Image Denoising with Directional Bases
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NIPS
2004
14 years 11 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICIP
2009
IEEE
15 years 10 months ago
Fast Implementation Of Vector Directional Filters
Vector filters based on order-statistics have proved successful in removing impulsive noise from color images while preserving edges and fine image details. Among these filters, t...
SCALESPACE
2005
Springer
15 years 3 months ago
Matrix-Valued Filters as Convex Programs
Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and effic...
Martin Welk, Florian Becker, Christoph Schnör...
ECCV
1994
Springer
15 years 11 months ago
Face Recognition: the Problem of Compensating for Changes in Illumination Direction
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
Yael Moses, Yael Adini, Shimon Ullman
ICPR
2010
IEEE
14 years 7 months ago
Local Jet Based Similarity for NL-Means Filtering
Reducing the dimension of local descriptors in images is useful to perform pixels comparison faster. We show here that, for enhancing and optimising the computation of the NL-mean...
Antoine Manzanera