scholarly journals A two-step mixed inpainting method with curvature-based anisotropy and spatial adaptivity

2017 ◽  
Vol 11 (2) ◽  
pp. 247-262 ◽  
Author(s):  
Francisco J. Ibarrola ◽  
Ruben D. Spies
Keyword(s):  
Spatial Adaptivity

scholarly journals Color filter array interpolation based on spatial adaptivity

2007 ◽  
Author(s):  
Dmitriy Paliy ◽  
Radu Bilcu ◽  
Vladimir Katkovnik ◽  
Markku Vahviläinen
Keyword(s):  
Color Filter ◽  
Color Filter Array ◽  
Filter Array ◽  
Spatial Adaptivity

scholarly journals Compartmental neural simulations with spatial adaptivity

2008 ◽  
Vol 25 (3) ◽  
pp. 465-480 ◽  
Author(s):  
Michael J. Rempe ◽  
Nelson Spruston ◽  
William L. Kath ◽  
David L. Chopp
Keyword(s):  
Spatial Adaptivity

scholarly journals Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiuqing Zheng ◽  
Zhiwu Liao ◽  
Shaoxiang Hu ◽  
Ming Li ◽  
Jiliu Zhou
Keyword(s):  
Fractal Dimension ◽  
Signal To Noise Ratio ◽  
Denoising Method ◽  
Nonlocal Means ◽  
Anatomical Features ◽  
Fractal Image ◽  
Box Counting Dimension ◽  
Local Comparison ◽  
The Difference ◽  
Spatial Adaptivity

NLMs is a state-of-art image denoising method; however, it sometimes oversmoothes anatomical features in low-dose CT (LDCT) imaging. In this paper, we propose a simple way to improve the spatial adaptivity (SA) of NLMs using pointwise fractal dimension (PWFD). Unlike existing fractal image dimensions that are computed on the whole images or blocks of images, the new PWFD, named pointwise box-counting dimension (PWBCD), is computed for each image pixel. PWBCD uses a fixed size local window centered at the considered image pixel to fit the different local structures of images. Then based on PWBCD, a new method that uses PWBCD to improve SA of NLMs directly is proposed. That is, PWBCD is combined with the weight of the difference between local comparison windows for NLMs. Smoothing results for test images and real sinograms show that PWBCD-NLMs with well-chosen parameters can preserve anatomical features better while suppressing the noises efficiently. In addition, PWBCD-NLMs also has better performance both in visual quality and peak signal to noise ratio (PSNR) than NLMs in LDCT imaging.

scholarly journals Efficient transform coding of IR line-scan images based on spatial adaptivity

2000 ◽  
Author(s):  
D. Milovanovic ◽  
A. Marincic ◽  
B. Wiecek ◽  
G. Petrovic ◽  
Z. Barbaric
Keyword(s):  
Transform Coding ◽  
Line Scan ◽  
Spatial Adaptivity

Spatial adaptivity in SOLEDGE3X‐HDG for edge plasma simulations in versatile magnetic and reactor geometries

2022 ◽  
Author(s):  
G. Piraccini ◽  
F. Schwander ◽  
E. Serre ◽  
G. Giorgiani ◽  
M. Scotto D'Abusco
Keyword(s):  
Edge Plasma ◽  
Plasma Simulations ◽  
Spatial Adaptivity

scholarly journals On spatial adaptivity and interpolation when using the method of lines

1998 ◽  
Vol 26 (1-2) ◽  
pp. 117-133 ◽  
Author(s):  
Martin Berzins ◽  
Philip J. Capon ◽  
Peter K. Jimack
Keyword(s):  
Method Of Lines ◽  
The Method Of Lines ◽  
Spatial Adaptivity

scholarly journals Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications

2019 ◽  
pp. 409-423 ◽  
Author(s):  
Steffen Hirschmann ◽  
Michael Lahnert ◽  
Carolin Schober ◽  
Malte Brunn ◽  
Miriam Mehl ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Load Balancing ◽  
Coarse Grained ◽  
Spatial Adaptivity ◽  
Coarse Grained Molecular Dynamics

Spatial Adaptivity Applied to the Variational NodalPnEquations

2002 ◽  
Vol 142 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Hui Zhang ◽  
E. E. Lewis
Keyword(s):  
Spatial Adaptivity
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