Abstract

Abstract For dealing with the noise images in real scenes, this paper proposed a deep convolutional neural network (CNN) based on real noise scene, which is closer to real life. By taking advantage of CNN multiple convolutional layers, the model learns the data characteristics of noised images in real scenes, and further constantly adjusts its own parameters. The experiment results show that the CNN network model proposed in this paper has better denoising performance for noised images in real scenes. The image processed by the method proposed in this paper is clearer, with better visual effect. At the same time, the edge details in the image are better maintained.KeywordsConvolutional neural networkImage denoisingNoised imageReal scene

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