3D-TV System with Depth-Image-Based Rendering

2013 ◽  
Keyword(s):  
Depth Image ◽  
Image Based Rendering ◽  
Depth Image Based Rendering ◽  
3D Tv

An Overview of 3D-TV System Using Depth-Image-Based Rendering

2012 ◽  
pp. 3-35 ◽  
Author(s):  
Yin Zhao ◽  
Ce Zhu ◽  
Lu Yu ◽  
Masayuki Tanimoto
Keyword(s):  
Depth Image ◽  
Image Based Rendering ◽  
Depth Image Based Rendering ◽  
3D Tv

scholarly journals Degraded image enhancement by image dehazing and Directional Filter Banks using Depth Image based Rendering for future free-view 3D-TV

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217246
Author(s):  
Imran Uddin Afridi ◽  
Tariq Bashir ◽  
Hasan Ali Khattak ◽  
Tariq Mahmood Khan ◽  
Muhammad Imran
Keyword(s):  
Image Enhancement ◽  
Filter Banks ◽  
Depth Image ◽  
Image Dehazing ◽  
Image Based Rendering ◽  
Directional Filter ◽  
Depth Image Based Rendering ◽  
Degraded Image ◽  
3D Tv ◽  
Directional Filter Banks

A BACKGROUND MODELING-BASED FAITHFUL APPROACH TO THE DISOCCLUSION PROBLEM IN DEPTH IMAGE-BASED RENDERING

2013 ◽  
Vol 27 (02) ◽  
pp. 1354005 ◽  
Author(s):  
MICHAEL SCHMEING ◽  
XIAOYI JIANG
Keyword(s):  
Background Modeling ◽  
View Synthesis ◽  
Depth Image ◽  
Image Based Rendering ◽  
Texture Information ◽  
Depth Image Based Rendering ◽  
Compression Artifacts

In this paper, we address the disocclusion problem that occurs during view synthesis in depth image-based rendering (DIBR). We propose a method that can recover faithful texture information for disoccluded areas. In contrast to common disocclusion filling methods, which usually work frame-by-frame, our algorithm can take information from temporally neighboring frames into account. This way, we are able to reconstruct a faithful filling for the disocclusion regions and not just an approximate or plausible one. Our method avoids artifacts that occur with common approaches and can additionally reduce compression artifacts at object boundaries.

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