DENG Xiangdong, CAO Xun, DAI Qionghai. Depth and Residual Images Based Rendering[J]. Chinese Journal of Electronics, 2016, 25(1): 131-138. doi: 10.1049/cje.2016.01.020
Citation: DENG Xiangdong, CAO Xun, DAI Qionghai. Depth and Residual Images Based Rendering[J]. Chinese Journal of Electronics, 2016, 25(1): 131-138. doi: 10.1049/cje.2016.01.020

Depth and Residual Images Based Rendering

doi: 10.1049/cje.2016.01.020
Funds:  This work is supported by the NSFC Project (No.61271445, No.61371166, No.61422107), the Natural Science Foundation of Jiangsu Province Project (No.BK20130583), and the Ministry of Science and Technology Project (No.2012BAH39F03).
  • Received Date: 2014-03-25
  • Rev Recd Date: 2015-08-10
  • Publish Date: 2016-01-10
  • This paper proposes a novel representation method which is called Depth and residual images based representation (DRIBR) for virtual image rendering in 3D video. The proposed DRIBR is composed of three parts: a single view image from one particular viewpoint, its corresponding depth map as well as a residual image. The residual image is pre-calculated from the combination of the above two components plus an image taken from the other viewpoint. The proposed DRIBR achieves low data redundancy, and resolves the occlusion problem which is one of the most annoying artifacts during the rendering of virtual image in traditional Depth image based rendering (DIBR). This paper addresses details of DRIBR and virtual image rendering algorithms based on the proposed format. We test the DRIBR on various stereo datasets and the experimental results demonstrate that our method can achieve better performance on both subjective and objective quality assessment.
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