caa a22 4500 605447934 CHVBK 20210128100134.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1898-1 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1898-1 View synthesis distortion elimination filter for depth video coding in 3D video broadcasting [Elektronische Daten] [Linwei Zhu, Yun Zhang, Xu Wang, Sam Kwong] Depth image based rendering (DIBR), which can generate synthesized images according to the users' demand, is a key technique for achieving 3D television. However, view synthesis by DIBR technique is very sensitive to depth coding distortion. Because depth distortion will lead to geometrical rendering position errors, and seriously affect the quality of synthesized images. In this paper, we propose an in-loop filter to minimize view synthesis distortion at the cost of transmitting extra filter parameters as supplementary information. And an adaptive parameter determination scheme is presented for the proposed filter. Then a good trade-off between bit rate and view synthesis distortion has been achieved by considering the spatial-temporal correlations of 3D video sequence. The simulation results reveal that the proposed view synthesis distortion elimination method can significantly improve the rate-distortion performance, which achieves Bjontegaard Delta Peak Signal-to-Noise Ratio (BDPSNR) gain from 0.41 to 1.09dB compared with the benchmark. Springer Science+Business Media New York, 2014 3D video nationallicence View synthesis nationallicence Depth image based rendering nationallicence Depth video coding nationallicence Zhu Linwei Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China aut Zhang Yun Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China aut Wang Xu Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong aut Kwong Sam Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5935-5954 1380-7501 74:15<5935 2015 74 11042 https://doi.org/10.1007/s11042-014-1898-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1898-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhu Linwei Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China aut NATIONALLICENCE 700 1- Zhang Yun Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China aut NATIONALLICENCE 700 1- Wang Xu Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong aut NATIONALLICENCE 700 1- Kwong Sam Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5935-5954 1380-7501 74:15<5935 2015 74 11042