A Lightweight Denoising Method Based on Noise2Void for X-ray Pseudo-color Images in X-ray Security Inspection-Reference-Cited by-同舟云学术

A Lightweight Denoising Method Based on Noise2Void for X-ray Pseudo-color Images in X-ray Security Inspection

Published:2022-08-24 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Industrial Artificial Intelligence (IAI)
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Author:

Liu Dongming¹,Liu Jianchang¹,Yuan Peixin²,Yu Feng¹

Affiliation:

1. College of Information Science and Engineering, Northeastern University,Shenyang,China

2. School of Mechanical Engineering and Automation, Northeastern University,Shenyang,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976494/9976496/09976566.pdf?arnumber=9976566

Reference30 articles.

1. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

2. Batch normalization: accelerating deep network training by reducing internal covariate shift;ioffe;International Conference on Machine Learning,0

3. FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

4. Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections;mao;Advances in neural information processing systems,2016

5. Making a “Completely Blind” Image Quality Analyzer

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