An Advanced AFWMF Model for Identifying High Random-Valued Impulse Noise for Image Processing
In this study, a novel adaptive fuzzy weighted mean filter (AFWMF) model based on the directional median technique and fuzzy inference is presented for solving the restoring high-ratio random-valued noise in image processing. This study aims, not only to obtain information from each direction of the...
Main Authors: | Jieh-Ren Chang, You-Shyang Chen, Chih-Min Lo, Huan-Chung Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/15/7037 |
Similar Items
-
Comparison of algorithms for the removal of impulsive noise from an image
by: Amit Prakash Sen, et al.
Published: (2023-03-01) -
Impulsive Noise Removal with an Adaptive Weighted Arithmetic Mean Operator for Any Noise Density
by: Manuel González-Hidalgo, et al.
Published: (2021-01-01) -
New method for detecting and removing random-valued impulse noise from images
by: P.A. Lyakhov, et al.
Published: (2023-04-01) -
An Iterative Weighted-Mean Filter for Removal of High-Density Salt-and-Pepper Noise
by: Fengyu Chen, et al.
Published: (2020-12-01) -
A Second-Order Method for Removing Mixed Noise from Remote Sensing Images
by: Ying Zhou, et al.
Published: (2023-08-01)