DISTORTION ESTIMATION FOR TWO-STEP VIEW SYNTHESIS

被引:0
|
作者
Zhang, Dong [1 ]
Liang, Jie [1 ]
Gong, Xiangyang [2 ]
机构
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC, Canada
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
来源
2013 PICTURE CODING SYMPOSIUM (PCS) | 2013年
基金
加拿大自然科学与工程研究理事会;
关键词
Distortion estimation; View synthesis;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In depth-image-based-rendering (DIBR), the quality of the synthesized virtual view depends on that of the depth maps in the reference views. In this paper, we develop a framework to estimate the distortion of the synthesized view when a simplified two-step warping algorithm is used and when there are random errors in the reference depth maps. A graph-based method is developed to obtain the depth and texture distributions in the synthesized view. Experimental results demonstrate the accuracy of the estimated distortion.
引用
收藏
页码:93 / 96
页数:4
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