An algorithm is presented which implements image watermarking in the domain of an overcomplete, or redundant, wavelet transform. This algorithm expands on a previous method which ...
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
We investigate a method of segmentation of multichannel polarimetric images, such as in laser illuminated or synthetic aperture radar, into a given but arbitrary number of regions...
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
In this paper, we propose a novel synthesis technique for BTFs. A BTF (bidirectional texture function) is a 6D function which can represent appearances of a texture under arbitrar...
Hiroshi Kawasaki, Kyoung-Dae Seo, Yutaka Ohsawa, R...
Network Embedded Forward Error Correction (NEF) framework is a paradigm shift from a conventional approach of providing Forward Error Correction (FEC) only on an end-to-end basis....
Recent methods based on interest points and local fingerprints have been proposed to perform robust CBCD (content-based copy detection) of images and video. They include two steps...
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...
Adel Rahmoune, Pierre Vandergheynst, Pascal Frossa...
We generalize our results of [8, 9] and propose a new framework of multitree dictionaries which include many previously proposed dictionaries as well as many new, very large, tree...
Yan Huang, Ilya Pollak, Minh N. Do, Charles A. Bou...