DenoisingAlgorithm Based on Convolutional Neural Network in Real Scene

Computer & Telecommunication

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Jiangxi College ofApplied Technology

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Abstract For dealing with the noise image processing in the real scene, this paper proposes a denoising algorithm based on convolu- tional neural network according to the noise model which closer to the real scene. The algorithm uses multiple convolution layers in the convolutional neural network to learn the data characteristics of the noise image in the real scene, so as to continuously optimize its own parameters. The simulation results show that the denoising algorithm based on convolutional neural network has a good de- noising effect on the noise image in real scene, the denoised image is clearer, the visual effect is better, and the edge details in the im- age are well preserved.

Key words： image processing real scene convolutional neural network image denoising

Published: 24 February 2021

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	XIE Shumin DENG Lei XIE Zhong-mei LI Hai-ping

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XIE Shumin DENG Lei XIE Zhong-mei LI Hai-ping. DenoisingAlgorithm Based on Convolutional Neural Network in Real Scene. Computer & Telecommunication, 2020, 1(11): 39-43.

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https://www.computertelecom.com.cn/EN/ OR https://www.computertelecom.com.cn/EN/Y2020/V1/I11/39

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