基于深度的3D视频的帧率上转换

Qingchun Lu, Xiangzhong Fang, Chong Xu, Yongzhe Wang
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引用次数: 15

摘要

提出了一种新的基于深度的三维视频帧率上转换(FRUC)方案。与传统的仅针对二维(2D)视频设计的FRUC方法不同,该方法针对基于深度的3D视频设计,通过综合考虑图像强度、深度信息和时空相关性,提高颜色序列及其相关深度图的帧率。该方法包括运动估计、块不规则分割(BIS)、深度约束运动矢量后处理、前后运动补偿和边缘保留组合。实验结果表明,采用该方法插值的中间颜色和中间深度图像在客观上和主观上都具有较好的图像质量。此外,与转换FRUC方法相比,该方法上转换的颜色图和深度图序列更适合进一步的虚拟视图合成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frame Rate Up-Conversion for Depth-Based 3D Video
A novel frame rate up-conversion (FRUC) scheme for depth-based 3D video is proposed. Differing from the existing conventional FRUC methods which are designed for two dimensional (2D) video only, the proposed method is designed for depth-based 3D video, which increases the frame rate of both color sequences and its associated depth maps by jointly considering the image intensity, depth information, and spatial-temporal correlations. The proposed method contains motion estimation, block irregular segmentation (BIS), depth-constrained motion vector post-processing, forward and backward motion compensation, and edge-preserved combination. Experimental results show that the intermediate color and depth images interpolated by our proposed method provide a good image quality both objectively and subjectively. Moreover, compared with conversional FRUC methods, the color and depth map sequences up-converted by the proposed method are more suitable for further virtual view synthesis.
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