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.