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Hole-filling Based on Disparity Map for DIBR
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  • Hole-filling Based on Disparity Map for DIBR
  • Hole-filling Based on Disparity Map for DIBR
저자명
Liu. Ran,Xie. Hui,Tian. Fengchun,Wu. Yingjian,Tai. Guoqin,Tan. Yingchun,Tan. Weimin,Li. Bole,Chen. Hengxin,Ge. Liang
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2012년|6권 10호|pp.2663-2678 (16 pages)
발행정보
한국인터넷정보학회
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정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Due to sharp depth transition, big holes may be found in the novel view that is synthesized by depth-image-based rendering (DIBR). A hole-filling method based on disparity map is proposed. One important aspect of the method is that the disparity map of destination image is used for hole-filling, instead of the depth image of reference image. Firstly, the big hole detection based on disparity map is conducted, and the start point and the end point of the hole are recorded. Then foreground pixels and background pixels are distinguished for hole-dilating according to disparity map, so that areas with matching errors can be determined and eliminated. In addition, parallaxes of pixels in the area with holes and matching errors are changed to new values. Finally, holes are filled with background pixels from reference image according to these new parallaxes. Experimental results show that the quality of the new view after hole-filling is quite well; and geometric distortions are avoided in destination image, in contrast to the virtual view generated by depth-smoothing methods and image inpainting methods. Moreover, this method is easy for hardware implementation.