A Novel Method of Minimizing View Synthesis Distortion Based on Its Non-Monotonicity in 3D Video-Reference-Cited by-同舟云学术

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A Novel Method of Minimizing View Synthesis Distortion Based on Its Non-Monotonicity in 3D Video

Published:2017-11 Issue:11 Volume:26 Page:5122-5137
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Yang Meng^ORCID,Zheng Nanning,Zhu Ce^ORCID,Wang Fei

Funder

NSFC Key Project

NSFC Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8013197/07968461.pdf?arnumber=7968461

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. H²-Stereo: High-Speed, High-Resolution Stereoscopic Video System;IEEE Transactions on Broadcasting;2022-12

2. A Convolutional Neural Network-Based Complexity Reduction Scheme in 3D-HEVC;Lecture Notes in Computer Science;2020

3. Occlusion-Aware Depth Map Coding Optimization Using Allowable Depth Map Distortions;IEEE Transactions on Image Processing;2019-11

4. Efficient Estimation of View Synthesis Distortion for Depth Coding Optimization;IEEE Transactions on Multimedia;2019-04

5. SynBF: A New Bilateral Filter for Postremoval of Noise From Synthesis Views in 3-D Video;IEEE Transactions on Multimedia;2019-01

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