A new image restoration approach by combining empirical wavelet transform and total variation using chaotic squirrel search optimization-Reference-Cited by-同舟云学术

A new image restoration approach by combining empirical wavelet transform and total variation using chaotic squirrel search optimization

Published:2020-10-22 Issue:2 Volume:34 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numer Model

Author:

Kumar K. Praveen¹²^ORCID,Narasimhulu C. Venkata³,Prasad K. Satya⁴

Affiliation:

1. Jawaharlal Nehru Technological University Kakinada India

2. Electronics and Communication Engineering Department GITAM Deemed to be University Hyderabad India

3. Department of Electronics and Communication Engineering Lords Institute of Engineering & Technology Hyderabad India

4. Technology & Research Vignan's Foundation for Science Guntur India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation

Link

Reference43 articles.

3. Image segmentation based on wavelet mutation particle swarm optimization and fuzzy entropy;Zhang W;J Comput Appl,2010

5. Application of adaptive wavelet scalogram threshold in diaphragmatic electromyographic signal denoising;Yang Z;J Comput Appl,2013

Cited by 3 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

3. Chaos theory in metaheuristics;Comprehensive Metaheuristics;2023