Artifact reduction using reliability reasoning for image generation of FTV

Journal of Visual Communication and Image Representation

Volumn 21, Issue 5-6, 2010, Pages 542-560

  Yang, Lu ^a   Yendo, Tomohiro ^a   Tehrani, Mehrdad Panahpour ^a   Fujii, Toshiaki ^b   Tanimoto, Masayuki ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Artefacts; Backward warping; Depth error; Depth image based rendering; Forward warping; FTV; Image interpolation; Reliability; View synthesis

Indexed keywords

ARTEFACTS; BACKWARD WARPING; DEPTH ERROR; DEPTH IMAGE BASED RENDERING; FORWARD WARPING; FTV; IMAGE INTERPOLATIONS; VIEW SYNTHESIS;

ERRORS; IMAGE RECONSTRUCTION; IMAGE UNDERSTANDING; INTERPOLATION; PIXELS; TELEVISION SYSTEMS;

RELIABILITY;

EID: 77957861289     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2009.09.009     Document Type: Article

References (25)

1. M. Tanimoto Overview of free viewpoint television Signal Process.: Image Commun. 21 2006 454 461
2. A. Kubota, A. Smolic, M. Magnor, M. Tanimoto, T. Chen, and C. Zhang Multi-view imaging and 3DTV IEEE Signal Process. Magazine 24 6 2007 10 21
3. S.C. Chan, H.Y. Shum, and King-To Ng Image-based rendering and synthesis IEEE Signal Process. Magazine 24 6 2007 22 33
4. A. Criminisi, A. Blake, The SPS algorithm: patching figural continuity and transparency by split-patch search, in: Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, 2004, pp. 342-349.
5. S.W. Hasinoff, S.B. Kang, and R. Szeliski Boundary matting for view synthesis Comput. Vision Image Understand. 103 1 2006 22 32
6. C. Fehn, Depth-image-based rendering (DIBR), compression and transmission for a new approach on 3D-TV, in: Proceedings, SPIE Stereoscopic Displays and Virtual Reality Systems XI, San Jose, CA, USA, 2004, pp. 93-104.
7. Y. Boykov, O. Veksler, and R. Zabih Fast approximate energy minimization via graph cuts IEEE Trans. Pattern Anal. Machine Intell. 23 11 2001 1222 1239
8. R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother A comparative study of energy minimization methods for Markov random fields with smoothness-based priors IEEE Trans. Pattern Anal. Machine Intell. 30 6 2008 1068 1080
9. Y. Mori, N. Fukushima, T. Yendo, T. Fujii, and M. Tanimoto View generation with 3D warping using depth information for FTV Signal Process.: Image Commun. 24 2009 65 72
10. D. Min, D. Kim, S. Yun, and K. Sohn 2D/3D freeview video generation for 3DTV system Signal Process.: Image Commun. 24 2009 31 48
11. P. Kauff, N. Atzpadin, C. Fehn, M. Müller, O. Schreer, A. Smolic, and R. Tanger Depth map creation and image based rendering for advanced 3DTV services providing interoperability and scalability Signal Process.: Image Commun. 22 2007 217 234
12. C.L. Zitnick, S.B. Kang, M. Uyttendaele, S. Winder, R. Szeliski, High-quality video view interpolation using a layered representation, in: Proceedings, ACM SIGGRAPH, Los Angeles, CA, USA, 2004, pp. 600-608.
13. A. Smolic, K. Müller, K. Dix, P. Merkle, P. Kauff, T. Wiegand, Intermediate view interpolation based on multi-view video plus depth for advanced 3D video systems, in: Proceedings, IEEE International Conference on Image Processing, San Diego, CA, USA, 2008, pp. 2448-2451.
14. K. Müller, A. Smolic, K. Dix, P. Kauff, T. Wiegand, Reliability-based generation and view synthesis in layered depth video, in: Proceedings, IEEE International workshop on Multimedia Signal Processing, Cairns, Queensland, Australia, 2008, pp. 34-39.
15. C. Lee, Y.S. Ho, Boundary filtering on synthesized views of 3D video, in: Proceedings, 2008 Second International Conference on Future Generation Communication and Networking Symposia, Sanya, Hainan Island, China, 2008, pp. 15-18.
16. H.Y. Shum, S.C. Chan, and S.B. Kang Image-Based Rendering 2006 Springer-Verlag New York
17. M. Bertalmio, A.L. Bertozzi, G. Sapiro, Navier-Stokes, fluid dynamics, and image and video inpainting, in: Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, Kauai Marriott, Hawaii, USA, 2001, pp. 355-362.
18. Middlebury Stereo Vision page, Available at: < http://www.vision. middlebury.edu/stereo >.
19. ISO/IEC JTC1/SC29/WG11, Coding of moving pictures and audio, M15413, Archamps, France, April, 2008.
20. ISO/IEC JTC1/SC29/WG11, Coding of moving pictures and audio, M15378, Archamps, France, April 2008.
21. ISO/IEC JTC1/SC29/WG11, Coding of moving pictures and audio, M15377, Archamps, France, April 2008.
22. J. Kilner, J. Starck, J.Y. Guillemaut, and A. Hilton Objective quality assessment in free-viewpoint video production Signal Process.: Image Commun. 24 2009 3 16
23. J. Shade, S.J. Gortler, L.W. He, R. Szeliski, Layered depth images, in: Proceedings, ACM SIGGRAPH, Orlando, FL, USA, 1998, pp. 231-242.
24. Y. Wexler, A.W. Fitzgibbon, A. Zisserman, Bayesian estimation of layers from multiple images, in: Proceedings, European Conference on Computer Vision, Copenhagen, Denmark, 2002, pp. 487-501.
25. A.N. Stein, and M. Hebert Occlusion boundaries from motion: low-level detection and mid-level reasoning Int. J. Comput. Vision. 82 2009 325 357