Assumptions about image continuity lead to oversmoothed edges in common image
interpolation algorithms. A wavelet-based interpolation method that imposes no continuity …

This survey gives an introduction to redundant signal representations called frames. These
representations have recently emerged as yet another powerful tool in the signal processing …

Wavelet-based resolution enhancement methods improve the image resolution by
estimating the high-frequency band information. In this paper, we propose a new resolution …

While the first part of this article presented most of the basic theoretical developments of
frames, this part is more user friendly. It covers a large number of known frame families …

Introduction: Recently there has been much interest in wavelet-based algorithms for image
resolution enhancement tasks and several methods have appeared in the literature. A …

In breast cancer diagnosis, the radiologists mainly use their eyes to discern cancer when
they screen the mammograms. However, in many cases, cancer is not easily detected by the …

We present a numerical method to take into account 2D arbitrary-shaped interfaces in
classical finite-difference schemes, on a uniform Cartesian grid. This work extends the …

Image interpolation is a key aspect of digital image processing. This paper presents a novel
interpolation method based on optimal recovery and adaptively determining the quadratic …

An adaptive two-step paradigm for the super-resolution of optical images is developed in
this paper. The procedure locally projects image samples onto a family of kernels that are …

Hidden Markov trees in the wavelet domain are capable of accurately modeling the
statistical behavior of real world signals by exploiting relationships between coefficients in …