3-D Epanechnikov Mixture Regression in integral imaging compression

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Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei

Published: 01 Jan 2021, Last Modified: 23 Jul 2025J. Vis. Commun. Image Represent. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A totally modeling-based coding framework for the 3D holoscopic image is proposed.•3-D Epanechnikov Mixture Regression (EMR) is firstly used in the 3D holoscopic image compression.•An Elementary Image Adaptive Model Selection (EI-AMLS) algorithm for the optimal modeling of sub-EIA is proposed.•The sub-EIA is embedded into the reconstruction framework to form the decoded elementary image array (EIA).