This paper addresses the problem of superresolution from low resolution spherical images that are not perfectly registered. Such a problem is typically encountered in omnidirectio...
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
In this paper, we address the problem of super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in...
A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnet...
Abstract. The advent of digital photography calls for effective techniques for managing growing amounts of color images. Systems that only rely on low-level image features are now...