In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
In this paper, we present a new coding scheme for depth maps using a hierarchical decomposition. After we decompose a depth map into three disjoint images and a layer descriptor a...
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
Image magnification has been attracting a great deal of attention for long, and many approaches have been proposed to date. Nevertheless, bicubic interpolation is still the stand...