A Fast Algorithm for Texture-Depth Co-optimization in 3D-HEVC Intra Prediction

‍ ‍With the increasing demand for stereo and 3D video， the research on 3D video coding has attracted more and more attentions. 3D-HEVC standard is for 3D video coding with texture and depth map format. Due to the addition of depth map coding techniques， the coding complexity increases dramatically. Therefore， a fast intra coding algorithm for both texture and depth maps in 3D-HEVC was proposed. First， CU was divided into three categories： Non-split Coding Unit （NSCU）， Split Coding Unit （SCU）， and ordinary CU， by using the Sum of gradient matrix （SGM） as the complexity judgment basis of current CU and Sub-CU. For NSCU， the small size of the intra-frame prediction process was skipped； for SCU， the intra-frame prediction process of the current CU was skipped directly； and for ordinary CU， the original platform operation was performed. Experimental results show that compared with the original platform， the proposed algorithm reduces the coding time by 40.92% on average when the quality of synthetic viewpoints is basically unchanged. Compared with the state-of-the-art texture-depth co-optimization fast algorithms for 3D-HEVC， the outperformance of time saving is achieved with relatively equivalent quality.