3D holoscopic image coding scheme using HEVC with Gaussian process regression
作者：
Highlights：
• An efficient 3D holoscopic video coding solution based on Gaussian Process Regression using HEVC is proposed.
• The coding block and its prediction supports are modeled as a Gaussian process and Gaussian process regression is used to obtain a better prediction of the coding block.
• Superior coding efficiency is shown compared to the HEVC intra-prediction method and several other prediction methods in this field.
• A better visual quality of the rendered views can be obtained.
摘要
Highlights•An efficient 3D holoscopic video coding solution based on Gaussian Process Regression using HEVC is proposed.•The coding block and its prediction supports are modeled as a Gaussian process and Gaussian process regression is used to obtain a better prediction of the coding block.•Superior coding efficiency is shown compared to the HEVC intra-prediction method and several other prediction methods in this field.•A better visual quality of the rendered views can be obtained.
论文关键词：3D holoscopic image coding,Image prediction,Gaussian process regression,Sparsification algorithm,HEVC
论文评审过程：Received 16 February 2016, Revised 10 August 2016, Accepted 11 August 2016, Available online 12 August 2016, Version of Record 25 August 2016.
论文官网地址：https://doi.org/10.1016/j.image.2016.08.004
