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.

Featured Image

Why is it important?

It is an intelligent and adaptive solution, producing a clean output while preserving significant pixel information.


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.
You can read the full text:




The following have contributed to this page