Image denoising of coal dust based on fractional calculus adaptive algorithm
In view of problem of long iteration process, unsatisfactory image denoising effect and poor texture retention capacity of traditional denoising method of coal dust image, the paper improved existing method and built an adaptive denoising algorithm based on fractional calculus model. The improved al...
Main Authors: | WANG Zheng, MA Xianmi |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Industry and Mine Automation
2014-08-01
|
Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.08.011 |
Similar Items
-
Image Denoising Algorithm Based on Entropy and Adaptive Fractional Order Calculus Operator
by: Jimin Yu, et al.
Published: (2017-01-01) -
Fractional-order TV-L2 model for image denoising
by: Chen Dali, et al.
Published: (2013-10-01) -
A novel fractional mask for image denoising based on fractal–fractional integral
by: Krunal B. Kachhia, et al.
Published: (2024-09-01) -
General Fractional Vector Calculus
by: Vasily E. Tarasov
Published: (2021-11-01) -
A Spatially Adaptive Edge-Preserving Denoising Method Based on Fractional-Order Variational PDEs
by: Dehua Wang, et al.
Published: (2020-01-01)