@inproceedings{9d6df8367c7f4f2fa3eead45e8e8ca9e,
title = "Synthesis-guided depth super resolution",
abstract = "Depth map, as important auxiliary information in 3D procession, is used to synthesize virtual view rather than exhibition. Inspired by this, a synthesis-guided depth super resolution (SGDSR) algorithm is proposed. Employing the synthesis error between virtual view and corresponding original one as the criteria, the best super-resolved result is selected among numerous candidate super resolution (SR) results. To fully exploit varying property within different regions of an image, a patch-based SGDSR is further devised in this paper. Experimental results demonstrate the effectiveness of our method subjectively and objectively on both single view and two views platform based on depth-image-based rendering (DIBR).",
keywords = "Super resolution, depth map, depth-image-based rendering, synthesis-guided, view synthesis",
author = "Huijin Lv and Yongbing Zhang and Kai Li and Xingzheng Wang and Huiming Xuan and Qionghai Dai",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014 ; Conference date: 07-12-2014 Through 10-12-2014",
year = "2015",
month = feb,
day = "27",
doi = "10.1109/VCIP.2014.7051520",
language = "英语",
series = "2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "125--128",
booktitle = "2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014",
address = "美国",
}