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Geodesic Path-Based Diffusion Acceleration for Image Denoising
Sung In Cho
, Suk Ju Kang
Division of AI Software Convergence
Sogang University
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Dive into the research topics of 'Geodesic Path-Based Diffusion Acceleration for Image Denoising'. Together they form a unique fingerprint.
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Engineering
Anisotropic Diffusion
100%
Signal-to-Noise Ratio
66%
Filtration
66%
Peak Signal
66%
Structural Similarity
66%
Simulation Result
33%
Computation Time
33%
Diffusivity
33%
Noisy Image
33%
Pixel Value
33%
Neighboring Pixel
33%
Noise Suppression
33%
Computer Science
Geodesics
100%
image denoising
100%
Anisotropic Diffusion
37%
peak signal to noise ratio
25%
Structural Similarity
25%
Computation Time
12%
Postprocessing
12%
de-noising
12%
Neighboring Pixel
12%
Earth and Planetary Sciences
Diffusivity
100%
Diffusion Length
100%
Double Diffusion
100%
Mathematics
Geodesic Path
100%
Postprocessing
12%