In this paper, we propose a depth image generation method by stereo matching on super-pixel (SP) basis. In the proposed method, block matching is performed only at the center of the SP, and the obtained disparity is a...In this paper, we propose a depth image generation method by stereo matching on super-pixel (SP) basis. In the proposed method, block matching is performed only at the center of the SP, and the obtained disparity is applied to all pixels of the SP. Next, in order to improve the disparity, a new SP-based cost filter is introduced. This filter multiplies the matching cost of the surrounding SP by a weight based on reliability and similarity and sums the weighted costs of neighbors. In addition, we propose two new error checking methods. One-way check uses only a unidirectional disparity estimation with a small amount of calculation to detect errors. Cross recovery uses cross checking and error recovery to repair lacks of objects that are problematic with SP-based matching. As a result of the experiment, the execution time of the proposed method using the one-way check was about 1/100 of the full search, and the accuracy was almost equivalent. The accuracy using cross recovery exceeded the full search, and the execution time was about 1/60. Speeding up while maintaining accuracy increases the application range of depth images.展开更多
为了降低高效视频编码HEVC(High Efficiency Video Coding)帧内预测过程的计算复杂度,提出一种提前终止编码单元(CU)划分的快速帧内预测算法。首先,针对HEVC编码结构,提出一种纹理复杂度测度的方法(即像素亮度方差值)。然后,分析不同纹...为了降低高效视频编码HEVC(High Efficiency Video Coding)帧内预测过程的计算复杂度,提出一种提前终止编码单元(CU)划分的快速帧内预测算法。首先,针对HEVC编码结构,提出一种纹理复杂度测度的方法(即像素亮度方差值)。然后,分析不同纹理特性对帧内预测编码单元层次结构的影响,提出一种基于像素亮度方差值统计的提前终止编码单元的方法。对不同层次结构的编码单元进行像素亮度方差值统计,同时结合平均像素代价值统计,设置合理的阈值,自适应提前终止编码单元的划分,从而降低了帧内预测的编码复杂度。实验结果表明,在保证信噪比和比特率不变的情况下,该算法与HEVC参考软件HM10.0相比,编码时间平均节省32%。展开更多
文摘In this paper, we propose a depth image generation method by stereo matching on super-pixel (SP) basis. In the proposed method, block matching is performed only at the center of the SP, and the obtained disparity is applied to all pixels of the SP. Next, in order to improve the disparity, a new SP-based cost filter is introduced. This filter multiplies the matching cost of the surrounding SP by a weight based on reliability and similarity and sums the weighted costs of neighbors. In addition, we propose two new error checking methods. One-way check uses only a unidirectional disparity estimation with a small amount of calculation to detect errors. Cross recovery uses cross checking and error recovery to repair lacks of objects that are problematic with SP-based matching. As a result of the experiment, the execution time of the proposed method using the one-way check was about 1/100 of the full search, and the accuracy was almost equivalent. The accuracy using cross recovery exceeded the full search, and the execution time was about 1/60. Speeding up while maintaining accuracy increases the application range of depth images.
文摘为了降低高效视频编码HEVC(High Efficiency Video Coding)帧内预测过程的计算复杂度,提出一种提前终止编码单元(CU)划分的快速帧内预测算法。首先,针对HEVC编码结构,提出一种纹理复杂度测度的方法(即像素亮度方差值)。然后,分析不同纹理特性对帧内预测编码单元层次结构的影响,提出一种基于像素亮度方差值统计的提前终止编码单元的方法。对不同层次结构的编码单元进行像素亮度方差值统计,同时结合平均像素代价值统计,设置合理的阈值,自适应提前终止编码单元的划分,从而降低了帧内预测的编码复杂度。实验结果表明,在保证信噪比和比特率不变的情况下,该算法与HEVC参考软件HM10.0相比,编码时间平均节省32%。
