Non-Subsampled Contourlet Transform and Ground-Truth Score Generation Based Quality Assessment for DIBR-Synthesized Views-Reference-Cited by-同舟云学术

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Non-Subsampled Contourlet Transform and Ground-Truth Score Generation Based Quality Assessment for DIBR-Synthesized Views

Published:2024 Issue: Volume:26 Page:7873-7886
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Mumtaz Deebha¹^ORCID,Sadbhawna ²^ORCID,Jakhetiya Vinit³^ORCID,Subudhi Badri N.⁴^ORCID,Lin Weisi⁵^ORCID

Affiliation:

1. National Institute of Technology, Srinagar, India

2. Malaviya National Institute of Technology Jaipur, Jaipur, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Jammu, Jammu, India

4. Department of Electrical Engineering, Indian Institute of Technology Jammu, Jammu, India

5. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

TIH iHub Drishti

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10458998.pdf?arnumber=10458998

Reference74 articles.

1. An Artifact-Type Aware DIBR Method for View Synthesis

2. A Benchmark of DIBR Synthesized View Quality Assessment Metrics on a New Database for Immersive Media Applications

3. Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference

4. Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

5. Loss Functions for Image Restoration With Neural Networks

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