Adaptive Image Denoising Method Based on Diffusion Equation and Deep Learning
Effective noise removal has become a hot topic in image denoising research while preserving important details of an image. An adaptive threshold image denoising algorithm based on fitting diffusion is proposed. Firstly, the diffusion coefficient in the diffusion equation is improved, and the fitting...
Saved in:
Main Authors: | Shaobin Ma, Lan Li, Chengwen Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2022/7115551 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Image Denoising Method Based on Two-Way Coupling Diffusion Equation in Public Security Forensics
by: Yiqun Wang, et al.
Published: (2021-01-01) -
Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising
by: Tianyu Fu, et al.
Published: (2025-01-01) -
Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
by: Haoming Zhang, et al.
Published: (2021-01-01) -
An Adaptive Image Denoising Model Based on Tikhonov and TV Regularizations
by: Kui Liu, et al.
Published: (2014-01-01) -
Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
by: Discrete Dynamics in Nature and Society
Published: (2024-01-01)