5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression

In this study, we propose a modeling-based compression approach for dense/lenslet light field images captured by Plenoptic 2.0 with square microlenses. This method employs the 5-D Epanechnikov Kernel (5-D EK) and its associated theories. Owing to the limitations of modeling larger image block using...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 33; pp. 4029 - 4043
Main Authors:	Liu, Boning, Zhao, Yan, Jiang, Xiaomeng, Ji, Xingguang, Wang, Shigang, Liu, Yebin, Wei, Jian
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	5-D Epanechnikov kernel 5-D Epanechnikov mixture-of-experts Adaptation models Algorithms Cameras Image coding Image compression image modeling Kernel kernel method light field image compression Mathematical models Microlenses Mixtures Modelling Prediction algorithms Transform coding Video compression
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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