The limitations of commonly used separable extensions of one-dimensional transforms,
such as the Fourier and wavelet transforms, in capturing the geometry of image edges are …

In this paper, we develop the nonsubsampled contourlet transform (NSCT) and study its
applications. The construction proposed in this paper is based on a nonsubsampled …

The contourlet transform is a new two-dimensional extension of the wavelet transform using
multiscale and directional filter banks. The contourlet expansion is composed of basis …

We propose a new scheme, named contourlet, that provides a flexible multiresolution, local
and directional image expansion. The contourlet transform is realized efficiently via a double …

Objective: Improve the reconstructed image with fast and multiclass dictionaries learning
when magnetic resonance imaging is accelerated by undersampling the k-space data …

This chapter focuses on the development of a new “true” two-dimensional representation for
images that can capture the intrinsic geometrical structure of pictorial information. Our …

In spite of the success of the standard wavelet transform (WT) in image processing in recent
years, the efficiency of its representation is limited by the spatial isotropy of its basis …

Efficient representation of visual information lies at the foundation of many image processing
tasks, including compression, filtering, and feature extraction. Efficiency of a representation …

Myocardial infarction (MI), also referred to as heart attack, occurs when there is an
interruption of blood flow to parts of the heart, due to the acute rupture of atherosclerotic …

Nowadays, sleep studies have gained a lot of attention from researchers due to the
immense importance of quality sleep. Human beings spend nearly one-third of their lives in …