Bit allocation for 3D video coding based on lagrangian multiplier adjustment

作     者：Yang, Chao An, Ping Liu, Deyang Shen, Liquan Li, Kai 

作者机构：Minist Educ Key Lab Adv Displays & Syst Applicat Shanghai Peoples R China Shanghai Univ Sch Commun & Informat Engn Shanghai Peoples R China 

出 版 物：《SIGNAL PROCESSING-IMAGE COMMUNICATION》 (信号处理：图像通信)

年 卷 期：2017年第52卷

页      面：1-5页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China [U1301257  61172096  61571285  61422111] 

主　　题：Bit allocation Rate distortion optimization Lagrangian multiplier adjustment 3D video coding 

摘      要：Multi-view video plus depth (MVD) format 3D video consists of color texture image and gray depth map, the depth map provides the scene geometry information and is utilized to synthesize the virtual views through Depth Image Based Rendering (DIBR) technique. The quality of the synthesized virtual views is related to the qualities of both texture image and depth map, thus bit allocation between texture image and depth map is very important in 3D video coding. In this paper, we propose to optimally allocate bits between texture image and depth map by adjusting the Lagrangian Multiplier (LM) in depth map coding, we adjust the LM based on the difference between texture image coding Quantization Parameter (QP) and depth map QP. Experimental results show that the proposed method can achieve optimal 3D video coding performance for different sequences under different bitrates, and the complexity of our method is extremely low.