Salt and Pepper Noise Removal for Image Using Adaptive Pulse-Coupled Neural Network Optimized by Grey Wolf Optimization and Bidimensional Empirical Mode Decomposition

Salt and Pepper Noise Removal for Image Using Adaptive Pulse-Coupled Neural Network Optimized by Grey Wolf Optimization and Bidimensional Empirical Mode Decomposition

Aimed at the problem of poor noise reduction effect and parameter uncertainty of pulse-coupled neural network (PCNN), a hybrid image denoising method, using an adaptive PCNN that has been optimized by grey wolf optimization (GWO) and bidimensional empirical mode decomposition (BEMD), is presented. T...

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Bibliographic Details
Main Authors: Min Cui, Yicheng Wu, Chenguang Wang, Xiaochen Liu, Chong Shen
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
image de-nosing
pulsed-couple neural network
grey wolf optimization
bidimensional empirical mode decomposition
Online Access:http://www.mdpi.com/2076-3417/8/10/1977

Internet

http://www.mdpi.com/2076-3417/8/10/1977

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