Convolutional Neural Network Based Denoising for Digital Image Correlation Reconstructing High-Fidelity Deformation Field-Reference-Cited by-同舟云学术

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Convolutional Neural Network Based Denoising for Digital Image Correlation Reconstructing High-Fidelity Deformation Field

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
language:
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Author:

Niu Bangyan¹,Ji Jingjing¹

Affiliation:

1. Huazhong Univ. of Sci. and Tech.,State Key Lab. of Intel. Manuf. and Equip. Tech.,Wuhan,P.R. China,430074

Funder

National Key Research and Development Program of China

National Science Foundation

Industrial Technology Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196083/10196094/10196245.pdf?arnumber=10196245

Reference20 articles.

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

2. Deep DIC: Deep learning-based digital image correlation for end-to-end displacement and strain measurement

3. Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

4. Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement

5. DIC Challenge: Developing Images and Guidelines for Evaluating Accuracy and Resolution of 2D Analyses

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