RDEN: Residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC-Reference-Cited by-同舟云学术

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RDEN: Residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC

Published:2022-09 Issue:9 Volume:32 Page:6347-6359
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Pan Zhaoqing¹^ORCID,Yuan Feng¹,Yu Weijie²,Lei Jianjun¹^ORCID,Ling Nam³^ORCID,Kwong Sam⁴^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

3. Department of Computer Science and Engineering, Santa Clara University, Santa Clara, CA, USA

4. Department of Computer Science, City University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Natural Science Foundation of Tianjin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9875133/09739019.pdf?arnumber=9739019

Reference37 articles.

1. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

2. Multi-attention Based Ultra Lightweight Image Super-Resolution

3. Image Quality Assessment: From Error Visibility to Structural Similarity

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