Wavelet-Based Self-adaptive Hierarchical Thresholding Algorithm and Its Application in Image Denoising-Reference-Cited by-同舟云学术

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Wavelet-Based Self-adaptive Hierarchical Thresholding Algorithm and Its Application in Image Denoising

Published:2019-12-29 Issue:6 Volume:36 Page:539-547
ISSN:0765-0019
Container-title:Traitement du Signal
language:
Short-container-title:TS

Author:

Zhang Jianhua,Zhu Qiang,Song Lin

Funder

Water conservancy science and technology project of Shaanxi Province

Publisher

International Information and Engineering Technology Association

Subject

Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An image encryption algorithm based on discrete fractional wavelet transform and quantum chaos;Optik;2022-06

2. 基于多角度偏振成像仪数据的测试光源变化提取方法研究;ACTA PHOTONICA SINICA;2022

3. Slow Feature Extraction Algorithm Based on Visual Selection Consistency Continuity and Its Application;Traitement du Signal;2021-12-31

4. Multifocus image fusion method using discrete fractional wavelet transform and improved fusion rules;Journal of Modern Optics;2021-02-23

5. Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms;Traitement du Signal;2020-10-10

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