Depth map artefacts reduction: a review

Author:

Ibrahim Mostafa Mahmoud123ORCID,Liu Qiong13,Khan Rizwan13,Yang Jingyu4,Adeli Ehsan5ORCID,Yang You13

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and TechnologyWuhan430074People's Republic of China

2. Department of Electrical EngineeringMinia UniversityMiniaEgypt

3. Wuhan National Laboratory of Opto‐electronicsWuhan430074People's Republic of China

4. School of Electrical and Information Engineering, Tianjin UniversityTianjin300072People's Republic of China

5. Stanford AI LabStanford UniversityStanfordCAUSA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

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1. Implementing a Model-Based Approach for Digital Health Adoption Model Development;2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS);2023-11-07

2. 3D Depth Map Inpainting for Vietnamese Historical Printing Woodblocks: A Gated Convolution Approach;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18

3. Immersive Video Postprocessing for Efficient Video Coding;IEEE Transactions on Circuits and Systems for Video Technology;2023-08

4. Deep Attentional Guided Image Filtering;IEEE Transactions on Neural Networks and Learning Systems;2023

5. A New Approach to Decoder-Side Depth Estimation in Immersive Video Transmission;IEEE Transactions on Broadcasting;2023

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