A new method, using weighted combinations of shifted transforms, is developed for deringing and deblocking DCT compressed color images. The method shows substantial deringing impr...
Increasingly, more importance is placed on the uncertainty information of data being displayed. This paper focuses on techniques for visualizing 3D scalar data sets with correspon...
Suzana Djurcilov, Kwansik Kim, Pierre Lermusiaux, ...
A novel directionally adaptive image resolution enhancement method is proposed. The method uses a multiple-direction wavelet transform, called directionlets, to efficiently extrac...
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...