Salt and pepper noise removal method based on stationary Framelet transform with non‐convex sparsity regularization-Reference-Cited by-同舟云学术

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Salt and pepper noise removal method based on stationary Framelet transform with non‐convex sparsity regularization

Published:2022-02-17 Issue:7 Volume:16 Page:1846-1865
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Chen Yingpin¹²^ORCID,Huang Yuming²,Wang Lingzhi²,Huang Huiying²,Song Jianhua²,Yu Chaoqun²,Xu Yanping²

Affiliation:

1. School of Mathematical Sciences University of Electronic Science and Technology Chengdu 610000 China

2. School of Physics and Information Engineering Minnan Normal University Zhangzhou 363000 China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12451

Reference61 articles.

1. Impulse denoising based on noise accumulation and harmonic analysis techniques

2. Analog circuit implementation based on median filter for salt and pepper noise reduction in image

3. Human detection and tracking using new features combination in particle filter framework;Rahimi S.;Mach. Vis. Image Process.,2013

4. High-Spatial-Resolution Nighttime Light Dataset Acquisition Based on Volunteered Passenger Aircraft Remote Sensing

5. Low-rank tensor train for tensor robust principal component analysis

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4. Image De-noising with Hexagonal Structures Using Adaptive Recursive Filter;2023 International Conference on Emerging Smart Computing and Informatics (ESCI);2023-03-01

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