A Deep Learning-based Model for Phase Unwrapping-Reference-Cited by-同舟云学术

A Deep Learning-based Model for Phase Unwrapping

Published:2018-12-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
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Author:

Spoorthi G. E.¹,Gorthi Subrahmanyam¹,Gorthi Rama Krishna Sai¹

Affiliation:

1. Indian Institute of Technology, Tirupati, A.P

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3293353.3293372

Reference25 articles.

1. Chao Dong Chen Change Loy Kaiming He and Xiaoou Tang. 2016. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38 2 (2016) 295--307. Chao Dong Chen Change Loy Kaiming He and Xiaoou Tang. 2016. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38 2 (2016) 295--307.

2. Jianwu Dong Feng Chen Dong Zhou Tian Liu Zhaofei Yu and Yi Wang. 2017. Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high-resolution MRI data. Magnetic resonance in medicine 77 3 (2017) 1353--1358. Jianwu Dong Feng Chen Dong Zhou Tian Liu Zhaofei Yu and Yi Wang. 2017. Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high-resolution MRI data. Magnetic resonance in medicine 77 3 (2017) 1353--1358.

3. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture

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