With the exception of the harmonic oscillator, quantum wave packets usually spread as time
evolves. This is due to the non-linear character of the classical equations of motion which …

This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …

A new boundary detection approach for shape modeling is presented. It detects the global
minimum of an active contour model's energy between two end points. Initialization is made …

Sulfated zirconia with S content of 2 wt.% equivalent to complete coverage of its surface was
studied by infrared spectroscopy. At least four sulfated species were identified and exhibited …

This thoroughly updated new edition presents state of the art sparse and multiscale image
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …

The use of wavelets in the broad areas of source coding, communications, and networks is
surveyed. Specifically, the impact of wavelets and wavelet theory in image coding, video …

In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT),
which is a directional and redundant transform, for image coding. Three methods for …

The current morphological wavelet technologies utilize a fixed filter or a linear
decomposition algorithm, which cannot cope with the sudden changes, such as impulses or …

In this paper an attempt has been made to analyse different wavelet techniques for image
compression. Both hand-designed and lifting based wavelets are considered. Hand …

Morphological undecimated wavelet (MUDW) is a powerful method, which can capture
features accurately through removing noise by signal decomposition. It has therefore been …