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Proceedings Paper

Depth map super resolution and edge enhancement by utilizing RGB information
Author(s): Xu-le Yan; Ping An; Shuai Zheng; Yi-fan Zuo; Zhixiang You
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Paper Abstract

The paper presents a depth map super-resolution method of which the core content is a novel edge enhancement algorithm. Auto-regressive algorithm is applied to generate an initial upsampled depth map before the edge enhancement. Except for the low-resolution depth map, an intensity image derived from high-resolution color image is also utilized to extract accurate depth edge, which is finally rectified by combining color, depth and intensity information. The experimental results show that our approach is able to recover high-resolution (HR) depth maps with high quality. What’s more, in comparison with the previous state-of-art algorithms, our approach can generally achieve better results.

Paper Details

Date Published: 5 August 2015
PDF: 8 pages
Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220T (5 August 2015); doi: 10.1117/12.2189743
Show Author Affiliations
Xu-le Yan, Shanghai Univ. (China)
Key Lab. of Advanced Displays and System Application (China)
Ping An, Shanghai Univ. (China)
Key Lab. of Advanced Displays and System Application (China)
Shuai Zheng, Shanghai Univ. (China)
Key Lab. of Advanced Displays and System Application (China)
Yi-fan Zuo, Shanghai Univ. (China)
Key Lab. of Advanced Displays and System Application (China)
Zhixiang You, Shanghai Univ. (China)
Key Lab. of Advanced Displays and System Application (China)


Published in SPIE Proceedings Vol. 9622:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Guangming Shi; Xuelong Li; Bormin Huang, Editor(s)

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