【摘要】 为了解决3D-HEVC编码标准中深度图计算复杂度过高的问题,利用编码单元(Coding Unit,CU)的纹理复杂度和多视点间的相关性,对深度图编码做优化。具体地,使用Otsu’s算子计算当前CU的最大类间方差值,提前判决当前CU是否平坦,对平坦CU提前决策最佳分割尺寸;利用视点间的冗余性,参考已编码的独立视点的CU信息,对非独立视点的CU编码过程做优化。实验结果表明,提出的算法与原始3D-HEVC编码算法相比,编码时间减少25.68%,合成视点的失真可忽略不计;提出的算法与其他同类型算法相比,能够更精确区分平坦的CU和纹理复杂度高的CU,有效降低了深度图的编码复杂度。更多还原

【Abstract】 In order to solve the problem of high computation complexity of depth map in 3D-HEVC coding standard, the depth map coding is optimized by using the texture complexity of Coding Unit(CU) and the correlation of between multi viewpoints. Specifically, the Otsu’s operator is used to calculate the maximum inter-class variance of the current CU, so as to decide whether the current CU is smooth or not, and for the smooth CU, the optimal partition size is determined in made advance. By referring to the CU information of the coded independent viewpoint and by making use of the redundancy of between the viewpoints, the CU coding process of the non-independent viewpoint is optimized. The experimental results indicate that the proposed algorithm could reduce the coding time by 25.68% as compared with the original 3D-HEVC coding algorithm, and the distortion of the synthetic viewpoint is negligible. In addition, compared with other similar algorithms, the proposed algorithm could more accurately distinguish smooth CU from CU with high texture complexity, thus effectively reducing the coding complexity of depth map.更多还原