Research on Application of Deep Learning Based on Artificial Intelligence in High-noise Image Denoising

Author:

Wang Sainan

Abstract

Abstract Image denoising is to reduce or eliminate the influence of noise on the image to obtain the original image with less error. In order to remove the noise in the image more effectively, this article builds a convolutional neural network for image denoising based on the artificial intelligence-based deep learning method, and trains it through a high-noise image data set, and analyzes the training data set and model its own influence on the denoising effect, the results show that the increase in the number of layers is beneficial to denoising.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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