Open AccessResearch on Application of Deep Learning Based on Artificial Intelligence in High-noise Image Denoising
Author(s) -
Sainan Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032105
Subject(s) - noise reduction , artificial intelligence , computer science , noise (video) , image (mathematics) , image denoising , non local means , pattern recognition (psychology) , convolutional neural network , image noise , deep learning , set (abstract data type) , computer vision , programming language
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.