A Light Field Sparse and Reconstruction Framework for Improving Rendering Quality

A Light Field Sparse and Reconstruction Framework for Improving Rendering Quality

We present a sparse reconstruction light field (SRLF) framework using compressed sensing theory. Light field signals have sparsity in some specific phenomena, such as nonocclusions, smooth surfaces and texture uniformity. We study the light field sparsity to analyze the sparse basis and measurement...

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Bibliographic Details
Main Authors: Hong Zhang, Chang-Jian Zhu, Xiaohu Tang, Nan He, Yangdong Zeng, Qiuming Liu, Sen Xiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Light field sampling
compressive sampling
scene information
rendering quality
Online Access:https://ieeexplore.ieee.org/document/9261490/

Internet

https://ieeexplore.ieee.org/document/9261490/

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