A good neighbor is a great blessing: Nearest neighbor filtering method to remove impulse noise
Impulse noise is one of the common noise types that affect images. Median filtering denoising method has been widely used for impulse noise. However, as the noise density increases beyond 50%, the noise reduction quality of median filter reduces sharply. In this paper, a very simple nearest neighbor...
Main Authors: | Mohd Rafi Lone, Ekram Khan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
|
Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157821003669 |
Similar Items
-
Novel image detector of fixed-valued impulse noise with high noise intensity
by: Hu Haijiang, et al.
Published: (2020-01-01) -
A morphological filtering algorithm research for neighbor noise
by: Wen Fulin, et al.
Published: (2021-03-01) -
A neighborhood regression approach for removing multiple types of noises
by: Walid Sharabati, et al.
Published: (2018-03-01) -
Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise
by: Yuchao Tang, et al.
Published: (2023-12-01) -
A new approach for SPN removal: nearest value based mean filter
by: Bülent Turan
Published: (2022-11-01)