Improved Upsampling Based Depth Image Super-Resolution Reconstruction-Reference-Cited by-同舟云学术

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Improved Upsampling Based Depth Image Super-Resolution Reconstruction

Published:2023 Issue: Volume:11 Page:46782-46792
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ye Yanming¹^ORCID,Zhou Mengxiong¹,Wang Zhanyu²,Shen Xingfa³

Affiliation:

1. School of Information Engineering, Hangzhou Dianzi University, Hangzhou, China

2. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu, China

3. School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

Funder

National Natural Science Foundation of China

“Pioneer” and “Leading Goose” Research and Development Program of Zhejiang

Zhejiang teaching reform project of undergraduate colleges and universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10122538.pdf?arnumber=10122538

Reference39 articles.

1. Depth Map Refinement Using Super-Pixel Segmentation in Multi-View Systems

2. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

3. A method for creating a depth map based on a three-level fuzzy model;maxim;Eng Appl Artif Intell,2023

4. Modeling and generating moving trees from video

5. A deep convolutional network for medical image super-resolution

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