Adaptive Lagrangian Multiplier derivation model for depth map coding
作者：
Highlights：
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• An analysis of the important factors that could affect the Lagrangian Multiplier for depth map coding is presented.
• An adaptive Lagrangian Multiplier derivation model for depth map coding is proposed.
• This derivation model relies on a large quantity of statistical experiments by involving the affect factors.
• The RDO criterion for depth map coding is adjusted through the proposed adaptive Lagrangian Multiplier derivation model.
摘要
•An analysis of the important factors that could affect the Lagrangian Multiplier for depth map coding is presented.•An adaptive Lagrangian Multiplier derivation model for depth map coding is proposed.•This derivation model relies on a large quantity of statistical experiments by involving the affect factors.•The RDO criterion for depth map coding is adjusted through the proposed adaptive Lagrangian Multiplier derivation model.
论文关键词：Lagrangian Multiplier,Rate–distortion optimization (RDO),Multiview video plus depth (MVD),3D-HEVC,Depth map coding
论文评审过程：Received 28 November 2017, Revised 22 March 2018, Accepted 24 March 2018, Available online 29 March 2018, Version of Record 3 April 2018.
论文官网地址：https://doi.org/10.1016/j.image.2018.03.018
