关键词: 图像去噪, 真实噪声, 合成噪声, 深度学习

Abstract:

Image denoising is a kind of technology that uses the context information of image sequence to remove noise and restore clear image. It is one of the important research contents in the field of computer vision. With the development of machine learning, deep learning has been widely used in the field of image denoising, and has become an effective solution for image denoising. Firstly, the deep learning image denoising method is analyzed. Secondly, the idea of image denoising method is analyzed in detail according to the network structure, and the advantages and disadvantages are summarized. Then, through the experimental results on DND, PolyU and other data sets, the performance of deep learning based image denoising methods is compared and analyzed. Finally, the key issues of image denoising research are summarized, and the future development trend of the research of this field is discussed.

Key words: image denoising, real noise, synthetic noise, deep learning