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Fast and high-quality virtual view synthesis from multi-view plus depth videos

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Abstract

Depth image based rendering (DIBR) is an effective method for virtual view synthesis from Multi-view Plus Depth(MVD) video. Synthetic images, however, often contain ghost effect and some holes of varying sizes. This paper uses color correction of reference views, and combines depth-based image fusion with direct color image fusion to decrease the ghost effect. Meanwhile, the cracks are filled using depth filtering and inverse warping. What’s more, the image depth-aided inpainting with GPU acceleration is used to fill the remaining big disocclusions. Experimental results show that our proposed method improved the quality of virtual view synthetic images and reduced the processing time sharply.

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Abbreviations

DIBR:

Depth image based rendering

MVD:

Multi-view Plus Depth

FVV:

Free Viewpoint Video

SSD:

Sum of Squared Difference

PSNR:

Peak-Signal to Noise Ratio

SSIM:

Structural Similarity Index Measurement

CUDA:

Compute Unified Device Architecture

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Funding

This work is supported by natural science foundation of Jiangsu Province under Grant No.BK20181267, Industrial Prospective Project of Jiangsu Technology Department under Grant No.BE2018119.

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Authors and Affiliations

  1. College of Computer Science and Engineering, Southeast University, Nanjing, China

    Li Yao, Yingdong Han & Xiaomin Li

  2. Key Laboratory of Computer Network and Information Integration ( Southeast University ), Ministry of Education, Nanjing, 211189, People’s Republic of China

    Li Yao

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  1. Li Yao
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  2. Yingdong Han
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  3. Xiaomin Li
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Correspondence to Li Yao.

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Yao, L., Han, Y. & Li, X. Fast and high-quality virtual view synthesis from multi-view plus depth videos. Multimed Tools Appl 78, 19325–19340 (2019). https://doi.org/10.1007/s11042-019-7236-x

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