We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
There is a spate of research activities investigating digital image watermarking schemes in an effort to control the problem of illegal proliferation of creative digital data acros...
Gareth Brisbane, Reihaneh Safavi-Naini, Philip Ogu...
The widespread availability of photo editing software has made it easy to create visually convincing digital image forgeries. To address this problem, there has been much recent w...
Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, ...
Image registration is considered one of the most fundamental and crucial pre-processing tasks in digital imaging. This paper describes a fast multimodal automatic image registrati...
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digi...