نتایج جستجو برای: interface sharpening

تعداد نتایج: 207881  

1999
H. A. Atwater Thomas J. Watson

We describe the evolution of microstructure during ultrahigh vacuum ion beam sputter deposition of Cu (00 1) at room temperature on hydrogen-terminated Si (00 1) . In situ reflection high energy electron diffraction indicates growth of an epitaxial Cu (001) film on Si (001) with the intensity of the Bragg rods sharpening during 5-20 nm of Cu film growth. Post-growth x-ray diffraction indicates ...

2016
Jason Olsthoorn Stuart B. Dalziel

The study of vortex-ring-induced stratified mixing has long played a key role in understanding externally-forced, stratified turbulent mixing. While several studies have investigated the dynamical evolution of a such a stratified system, this paper presents an experimental investigation of the three-dimensional mechanical evolution of these vortex rings with the specific goal of a understanding...

Journal: :Proceedings. Biological sciences 2002
Mark A Georgeson Stephen T Hammett

It is widely supposed that things tend to look blurred when they are moving fast. Previous work has shown that this is true for sharp edges but, paradoxically, blurred edges look sharper when they are moving than when stationary. This is 'motion sharpening'. We show that blurred edges also look up to 50% sharper when they are presented briefly (8-24 ms) than at longer durations (100-500 ms) wit...

Journal: :SSRN Electronic Journal 2002

2002
Shilpa Palnitkar Bakul Vaghela B. Kartikeyan Santanu Chowdhury

Conventional techniques for image sharpening tend to introduce artifacts around edges producing a ringing effect. In this paper we propose a technique based on local derivatives to produce signature preserving sharpening. The performance of the technique is evaluated on synthetic imagery and remote sensing imagery. It is found that applying the technique in an iterative manner on zoomed imagery...

2001
Kathrin Berkner Michael J. Gormish Edward L. Schwartz

In this paper we use multiscale characteristics of wavelet decompositions and their relationship to smoothness spaces such as Besov spaces to derive a framework for smoothing and sharpening of signals and images. As a result, we derive a multiscale generalization of traditional techniques, such as unsharp masking, while using the smoothness parameter α in the Besov space Bα q (L p) to provide a...

Journal: :Information Processing Letters 2003

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