Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation

Deyang Liu; Ping An; Ran Ma; Chao Yang; Liquan Shen; Kai Li

doi:10.1117/1.JEI.25.4.043015

21 July 2016 Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation

Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen, Kai Li

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 4, 043015 (July 2016). https://doi.org/10.1117/1.JEI.25.4.043015

Abstract

Three-dimensional (3-D) holoscopic imaging, also known as integral imaging, light field imaging, or plenoptic imaging, can provide natural and fatigue-free 3-D visualization. However, a large amount of data is required to represent the 3-D holoscopic content. Therefore, efficient coding schemes for this particular type of image are needed. A 3-D holoscopic image coding scheme with kernel-based minimum mean square error (MMSE) estimation is proposed. In the proposed scheme, the coding block is predicted by an MMSE estimator under statistical modeling. In order to obtain the signal statistical behavior, kernel density estimation (KDE) is utilized to estimate the probability density function of the statistical modeling. As bandwidth estimation (BE) is a key issue in the KDE problem, we also propose a BE method based on kernel trick. The experimental results demonstrate that the proposed scheme can achieve a better rate-distortion performance and a better visual rendering quality.

Citation Download Citation

Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen, and Kai Li "Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation," Journal of Electronic Imaging 25(4), 043015 (21 July 2016). https://doi.org/10.1117/1.JEI.25.4.043015

Published: 21 July 2016

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