This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from th...
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between comp...