scholarly journals Microscopy image resolution improvement by deconvolution of complex fields

2010 ◽  
Vol 18 (19) ◽  
pp. 19462 ◽  
Author(s):  
Yann Cotte ◽  
M. Fatih Toy ◽  
Nicolas Pavillon ◽  
Christian Depeursinge
Keyword(s):  
Image Resolution ◽  
Microscopy Image ◽  
Resolution Improvement

Blind Deconvolution of SEM Images

2007 ◽  
Author(s):  
William E. Vanderlinde ◽  
James N. Caron
Keyword(s):  
Cross Section ◽  
Integrated Circuit ◽  
Blind Deconvolution ◽  
Signal To Noise Ratio ◽  
Image Resolution ◽  
Reference Standard ◽  
Signal To Noise ◽  
Sem Images ◽  
Resolution Improvement ◽  
Deconvolution Techniques

Abstract Blind deconvolution techniques were used to enhance scanning electron microscope (SEM) images in the range of 200,000x to 500,000x magnification. Typical SEM samples were imaged including a gold island reference standard, a plasma delayered integrated circuit, and an integrated circuit cross section. Image resolution improvement up to 40% was observed. However, it was necessary to use 16-bit TIFF images with greater than 120:1 signal to noise ratio, which required 10 minute frame times.

Photoacoustic microscopy image resolution enhancement via directional total variation regularization

2014 ◽  
Vol 12 (12) ◽  
pp. 121701-121705 ◽  
Author(s):  
Zhenghua Wu Zhenghua Wu ◽  
Mingjian Sun Mingjian Sun ◽  
Qiang Wang Qiang Wang ◽  
Ting Liu Ting Liu ◽  
Naizhang Feng Naizhang Feng ◽  
...  
Keyword(s):  
Total Variation ◽  
Resolution Enhancement ◽  
Image Resolution ◽  
Total Variation Regularization ◽  
Photoacoustic Microscopy ◽  
Microscopy Image

Spatial Compounding in 3D Imaging of Limbs

1997 ◽  
Vol 19 (4) ◽  
pp. 251-265 ◽  
Author(s):  
Ping He
Keyword(s):  
3D Imaging ◽  
Speckle Noise ◽  
Image Resolution ◽  
Speckle Reduction ◽  
Scanning System ◽  
Mean Power ◽  
Spatial Compounding ◽  
Resolution Improvement ◽  
Compound Angle ◽  
Mutually Independent

Effects of spatial compounding on image resolution and speckle noise are studied. Using computer simulation, it is shown that spatial compounding using averaged reconstruction can significantly improve lateral resolution while slightly deteriorate axial resolution. The amount of net resolution improvement depends mainly on the compound angle, but is insensitive to the number of component images used in compounding. While the fact that spatial compounding can effectively reduce speckle noise is well known, the analysis in this paper indicates that to maximize speckle reduction, the component echo amplitudes must meet two conditions: to be mutually independent and to have the same mean power. These findings provide useful guidelines for the analysis and optimization of the performance of an ultrasound scanning system that has been specially developed for imaging residual limbs.

scholarly journals Assessment of portal image resolution improvement using an external aluminum target and polystyrene electron filter

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Jonggeun Baek ◽  
Hyungdong Kim ◽  
Byungyong Kim ◽  
Youngkee Oh ◽  
Hyunsoo Jang
Keyword(s):  
Image Resolution ◽  
Aluminum Target ◽  
Resolution Improvement
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