Study of deep learning techniques on image denoising

Abstract

With the advancement in the area of Artificial Intelligence, the technology of deep learning is widely used in the field of Digital Image Processing and it is showing good results in the domain of Image denoising. To understand the area and progress of the field of deep learning in the domain of denoising, the research work is to be reviewed on various techniques, so that research scholars, academicians and industry professionals can take benefits out of this. The three models are introduced in this paper, such as wavelet neural network, pulse coupled neural network and convolutional neural network which are typically used in the field of noise reduction i.e. image denoising. The method of reduction in noise which is nonlocal in nature is considered as the heart of this technique. The aim of this paper is to better understand the recent developments in the field of machine learning and deep learning with the domain of reduction in noise of digital images.