Geometric surface smoothing via anisotropic diffusion of normals

2003 ◽  
Author(s):  
T. Tasdizen ◽  
R. Whitaker ◽  
P. Burchard ◽  
S. Osher
Keyword(s):  
Anisotropic Diffusion ◽  
Surface Smoothing ◽  
Geometric Surface

Disparity map refinement and 3D surface smoothing via directed anisotropic diffusion

2011 ◽  
Vol 115 (5) ◽  
pp. 611-619 ◽  
Author(s):  
Atsuhiko Banno ◽  
Katsushi Ikeuchi
Keyword(s):  
Anisotropic Diffusion ◽  
Disparity Map ◽  
Surface Smoothing ◽  
3D Surface

An Evaluation of Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion and Manual Colour Grading

2019 ◽  
Vol 2019 (1) ◽  
pp. 69-74
Author(s):  
Aldo Barba ◽  
Ivar Farup ◽  
Marius Pedersen
Keyword(s):  
Anisotropic Diffusion ◽  
Motion Pictures ◽  
Current Paper ◽  
Original Image ◽  
Colour Image ◽  
Image Conversion ◽  
Significant Difference ◽  
Greyscale Image

In the paper "Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion of Perceptual Colour Metrics", Farup et al. presented an algorithm to convert colour images to greyscale. The algorithm produces greyscale reproductions that preserve detail derived from local colour differences in the original colour image. Such detail is extracted by using linear anisotropic diffusion to build a greyscale reproduction from a gradient of the original image that is in turn calculated using Riemannised colour metrics. The purpose of the current paper is to re-evaluate one of the psychometric experiments for these two methods (CIELAB L* and anisotropic Δ99) by using a flipping method to compare their resulting images instead of the side by side method used in the original evaluation. In addition to testing the two selected algorithms, a third greyscale reproduction was manually created (colour graded) using a colour correction software commonly used to process motion pictures. Results of the psychometric experiment found that when comparing images using the flipping method, there was a statistically significant difference between the anisotropic Δ99 and CIELAB L* conversions that favored the anisotropic method. The comparison between Δ99 conversion and the manually colour graded image also showed a statistically significant difference between them, in this case favoring the colour graded version.

Improved anisotropic diffusion ultrasound image denoising method based on logarithmic compression

2013 ◽  
Vol 32 (11) ◽  
pp. 3218-3220
Author(s):  
Jin YANG ◽  
Zhi-qin LIU ◽  
Yao-bin WANG ◽  
Xiao-ming GAO
Keyword(s):  
Image Denoising ◽  
Anisotropic Diffusion ◽  
Ultrasound Image ◽  
Denoising Method

Hydrophobic hydrogen anode with a nickel catalyst

1982 ◽  
Vol 47 (12) ◽  
pp. 3230-3235 ◽  
Author(s):  
Olga Marholová ◽  
Karel Smrček
Keyword(s):  
Surface Area ◽  
Nickel Catalyst ◽  
Raney Nickel ◽  
Platinum Catalyst ◽  
Raney Nickel Catalyst ◽  
Electrochemical Parameters ◽  
Geometric Surface ◽  
Geometric Surface Area ◽  
Hydrogen Anode ◽  
In Cells

A hydrophobic porous hydrogen anode was prepared whose electrochemical parameters are comparable with anodes containing a platinum catalyst. For its successful preparation, oxidation of the Raney nickel catalyst with air oxygen or with fluorine from Teflon must be prevented. The electrodes of a geometric surface area up to 450 cm2 were tested in cells and modules filled with 7M-KOH.

Study on silicon removal property and surface smoothing phenomenon by moderate-pressure microwave hydrogen plasma

2021 ◽  
Vol 129 ◽  
pp. 105780
Author(s):  
Hiromasa Ohmi ◽  
Kenta Kimoto ◽  
Toshimitsu Nomura ◽  
Hiroaki Kakiuchi ◽  
Kiyoshi Yasutake
Keyword(s):  
Hydrogen Plasma ◽  
Moderate Pressure ◽  
Surface Smoothing

Anisotropic diffusion at the field scale in a 4-year multi-tracer diffusion and retention experiment – I: Insights from the experimental data

2014 ◽  
Vol 125 ◽  
pp. 373-393 ◽  
Author(s):  
Thomas Gimmi ◽  
Olivier X. Leupin ◽  
Jost Eikenberg ◽  
Martin A. Glaus ◽  
Luc R. Van Loon ◽  
...  
Keyword(s):  
Experimental Data ◽  
Anisotropic Diffusion ◽  
Tracer Diffusion ◽  
Field Scale

scholarly journals Finsler geometry modeling for anisotropic diffusion in Turing patterns

2021 ◽  
Vol 1730 (1) ◽  
pp. 012035
Author(s):  
Hiroshi Koibuchi ◽  
Masahiko Okumura ◽  
Shuta Noro
Keyword(s):  
Anisotropic Diffusion ◽  
Finsler Geometry ◽  
Turing Patterns ◽  
Geometry Modeling
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