Robust Spatial-Temporal Motion Coherent Priors for Multi-View Video Coding Artifact Reduction
Author:
Affiliation:
1. Graduate Program in Smart Factory, Ewha Womans University, Seoul, South Korea
2. Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, South Korea
3. Korea Electronics Technology Institute, Seongnam-si, South Korea
Funder
NRF
Ministry of Science and ICT, South Korea
Institute of Information & Communications Technology Planning & Evaluation
Korean Government
Development of Ultra High Resolution Unstructured Plenoptic Video Storage, Compression, and Streaming Technology for Medium to Large Space
Development of Moving Robot-Based Immersive Video Acquisition and Processing System in Metaverse
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/ielx7/6287639/10005208/10305590.pdf?arnumber=10305590
Reference52 articles.
1. Quantization Guided JPEG Artifact Correction
2. Building Dual-Domain Representations for Compression Artifacts Reduction
3. A Non-Local CNN for Video Denoising
4. AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor
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