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Depth-map Preprocessing Algorithm Using Two Step Boundary Detection for Boundary Noise Removal
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 Title & Authors
Depth-map Preprocessing Algorithm Using Two Step Boundary Detection for Boundary Noise Removal
Pak, Young-Gil; Kim, Jun-Ho; Lee, Si-Woong;
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The boundary noise in image syntheses using DIBR consists of noisy pixels that are separated from foreground objects into background region. It is generated mainly by edge misalignment between the reference image and depth map or blurred edge in the reference image. Since hole areas are generally filled with neighboring pixels, boundary noise adjacent to the hole is the main cause of quality degradation in synthesized images. To solve this problem, a new boundary noise removal algorithm using a preprocessing of the depth map is proposed in this paper. The most common way to eliminate boundary noise caused by boundary misalignment is to modify depth map so that the boundary of the depth map can be matched to that of the reference image. Most conventional methods, however, show poor performances of boundary detection especially in blurred edge, because they are based on a simple boundary search algorithm which exploits signal gradient. In the proposed method, a two-step hierarchical approach for boundary detection is adopted which enables effective boundary detection between the transition and background regions. Experimental results show that the proposed method outperforms conventional ones subjectively and objectively.
DIBR;Preprocessing;Boundary Noise;View Synthesis;
 Cited by
A. Redert, M. O. de Beeck, C. Fehn, W. IJsselsteijn, M. Pollefeys, L. Van Gool, E. Ofek, I. Sexton, and P. Surman, "ATTEST-advanced three-dimensional television system techniques," Proc. 3DPVT' 02, Padova, Italy, pp.313-319, 2002(6).

한찬희, 최해철, 이시웅, "2차원 동영상의 3차원 변환을 위한 깊이 단서의 신뢰성 기반 적응적 깊이 융합", 한국콘텐츠학회논문지, 제12권, 제12호, pp.1-13, 2012. crossref(new window)

L. Zhang and W. J. Tam, "Stereoscopic image generation based on depth images for 3D TV," IEEE Trans. on Broadcasting, Vol.51, No.2, pp.191-199, 2005 crossref(new window)

C. Fehn, "Depth-Image-Based Rendering (DIBR), Compression and transmission for a New Approach on 3D-TV," Proceedings of the SPIE, Vol.5291, pp.93-104, 2004.

고민수, 유지상, "가상시점 영상 생성을 위한 경계 잡음 제거와 홀 채움 기법", 한국통신학회논문지, 제37A권, 제8호, pp.679-688, 2012. crossref(new window)

C. Lee and Y. S. Ho, "Boundary filtering on synthesized views of 3D video," Int. Conf. Future Gen. Commun. Netw. Symp., Sanya, China, pp.15-18, 2008.

X. Xu, L. M. Po, K. W. Cheung, K. H. Ng, K. M. Wong, and C. W. Ting, "A foregound biased depth map refinement method for DIBR view synthesis," Proceedings of IEEE Conference of Acoustics, Speech, and Signal Processing (ICASSP), pp.805-808, 2012(4).

X. H. Lu, F. Wei, F. M. Chen, "Foreground-object-protected depth map smoothing for DIBR," 2012 IEEE International Conference on Multimedia and Expo, pp.339-343, 2012.

Y. Zhao, C. Zhu, Z. Chen, D. Tian, and L. Yu, "Boundary artifact reduction in view synthesis of 3D video: from perspective of texture-depth alignment," IEEE Transactions on Broadcasting, Vol.57, No.2, 2011(6).

L. Zhang, C. Vazquez, and S. Knorr, "3D-TV content creation: automatic 2D-to-3D video conversion," IEEE Transactions on Broadcasting, Vol.57, No.2, 2011(6).