What is it about?
This study presents an efficient convolutional neural network (CNN) with particle swarm optimisation (PSO) model for high-density impulse noise removal. The proposed high-density impulse noise detection and removal model mainly consists of two parts: the impulse noise removal and impulse noisy pixel detection for restoration.
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Why is it important?
It is an intelligent and adaptive solution, producing a clean output while preserving significant pixel information.
Perspectives
A novel and effective method to detect and remove high-density impulse noise using CNN and PSO.
Dr Joon Huang Chuah
University of Malaya
Read the Original
This page is a summary of: High-density Impulse Noise Detection and Removal Using Deep Convolutional Neural Network with Particle Swarm Optimization, IET Image Processing, October 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-ipr.2018.5776.
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