@inproceedings{57fcde2e211f43569ed0e52407fe36d8,
title = "A survey on image processing in noisy environment by fuzzy logic, image fusion, neural network, and non-local means",
abstract = "As time goes by, our technology gets improve day by day. We can know that it gets better in robotic technology. Robots try to social with human beings immediately. For the input, image processing becomes more important because it can make sure the human's actions and reactions. It is unavoidable that get some noise when the camera takes photo as input. Thus, noise removal is a key technology for image processing. We choose four kinds of noise removal's methods to introduce. There are fuzzy logical, image fusion, artificial neural network, non-local means. We find papers which were published during 2015 to 2017 and introduce what's different between them and traditional method. At the end of this paper, we use PSNR as the compared standard to check their advantages and disadvantages.",
keywords = "fuzzy logic, image fusion, neural network, noise removal, non-local means",
author = "Tien, {Kun Yu} and Hooman Samani and Lui, {Jui Hua}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Automatic Control Conference, CACS 2017 ; Conference date: 12-11-2017 Through 15-11-2017",
year = "2018",
month = feb,
day = "7",
doi = "10.1109/CACS.2017.8284240",
language = "English",
series = "2017 International Automatic Control Conference, CACS 2017",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1--6",
booktitle = "2017 International Automatic Control Conference, CACS 2017",
address = "United States",
}