Author:Long Gao, Shigang Hu, Kailun Gong Author Unit: School of Electronic Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, People’s Republic of China
Abstract：Image denoising techniques are the most important part of image processing, and with the development of deep learning, image denoising techniques are becoming more and more sophisticated. Feed-forward convolutional neural networks are one of the big hit denoising methods nowadays, and also one of the most effective methods. This paper introduces two models of convolutional neural networks, analyses the principles of the two models, and introduces the advantages and disadvantages of the two models, and then compares the practical effects of the three models in practice. Finally, the development prospect of image denoising is concluded.
Keywords：Image denoising; Convolutional neural network; Deep learning
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