A heuristic Bayesian design criterion for imaging resolution enhancement

2012 ◽  
Author(s):  
M. R. Khodja ◽  
M. D. Prange ◽  
H. A. Djikpesse
Keyword(s):  
Resolution Enhancement ◽  
Design Criterion ◽  
Bayesian Design ◽  
Imaging Resolution

Imaging resolution enhancement using terajet effect at 0.3 THz

2021 ◽  
Author(s):  
Igor V. Minin ◽  
Oleg V. Minin ◽  
J. SALVADOR-SÁNCHEZ ◽  
J. A. DELGADO-NOTARIO ◽  
Jaime CALVO-GALLEGO ◽  
...  
Keyword(s):  
Resolution Enhancement ◽  
Imaging Resolution

scholarly journals Subwavelength imaging: Resolution enhancement using metal wire gratings

2006 ◽  
Vol 73 (3) ◽  
Author(s):  
G. Fedorov ◽  
S. I. Maslovski ◽  
A. V. Dorofeenko ◽  
A. P. Vinogradov ◽  
I. A. Ryzhikov ◽  
...  
Keyword(s):  
Resolution Enhancement ◽  
Metal Wire ◽  
Subwavelength Imaging ◽  
Imaging Resolution ◽  
Wire Gratings

scholarly journals Fiber bundle imaging resolution enhancement using deep learning

2019 ◽  
Vol 27 (11) ◽  
pp. 15880 ◽  
Author(s):  
Jianbo Shao ◽  
Junchao Zhang ◽  
Rongguang Liang ◽  
Kobus Barnard
Keyword(s):  
Deep Learning ◽  
Fiber Bundle ◽  
Resolution Enhancement ◽  
Imaging Resolution

Off-axis electron holography applied to the study of interfaces

1992 ◽  
Vol 50 (1) ◽  
pp. 244-245
Author(s):  
J.K. Weiss ◽  
M. Gajdardziska-Josifovska ◽  
M. R. McCartney ◽  
David J. Smith
Keyword(s):  
Electric Fields ◽  
Resolution Enhancement ◽  
Interfacial Structure ◽  
Atomic Scale ◽  
Bulk Property ◽  
Electron Holography ◽  
Specimen Thickness ◽  
Composition And Structure ◽  
Chemical Segregation ◽  
Diffraction Effects

Interfacial structure is a controlling parameter in the behavior of many materials. Electron microscopy methods are widely used for characterizing such features as interface abruptness and chemical segregation at interfaces. The problem for high resolution microscopy is to establish optimum imaging conditions for extracting this information. We have found that off-axis electron holography can provide useful information for the study of interfaces that is not easily obtained by other techniques.Electron holography permits the recovery of both the amplitude and the phase of the image wave. Recent studies have applied the information obtained from electron holograms to characterizing magnetic and electric fields in materials and also to atomic-scale resolution enhancement. The phase of an electron wave passing through a specimen is shifted by an amount which is proportional to the product of the specimen thickness and the projected electrostatic potential (ignoring magnetic fields and diffraction effects). If atomic-scale variations are ignored, the potential in the specimen is described by the mean inner potential, a bulk property sensitive to both composition and structure. For the study of interfaces, the specimen thickness is assumed to be approximately constant across the interface, so that the phase of the image wave will give a picture of mean inner potential across the interface.

A Local Linear Wavelet Neural Network Based on a Bayesian Design Method

2009 ◽  
Vol 129 (7) ◽  
pp. 1356-1362
Author(s):  
Kunikazu Kobayashi ◽  
Masanao Obayashi ◽  
Takashi Kuremoto
Keyword(s):  
Neural Network ◽  
Design Method ◽  
Wavelet Neural Network ◽  
Bayesian Design ◽  
Local Linear
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