KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

Visual Fatigue Reduction Based on Depth Adjustment for DIBR System

  • Liu, Ran (College of Communication Engineering, Chongqing University) ;
  • Tan, Yingchun (College of Communication Engineering, Chongqing University) ;
  • Tian, Fengchun (College of Communication Engineering, Chongqing University) ;
  • Xie, Hui (College of Communication Engineering, Chongqing University) ;
  • Tai, Guoqin (College of Communication Engineering, Chongqing University) ;
  • Tan, Weimin (College of Communication Engineering, Chongqing University) ;
  • Liu, Junling (College of Communication Engineering, Chongqing University) ;
  • Xu, Xiaoyan (College of Computer Science, Chongqing University) ;
  • Kadri, Chaibou (College of Communication Engineering, Chongqing University) ;
  • Abakah, Naana (College of Communication Engineering, Chongqing University)
  • Received : 2012.02.03
  • Accepted : 2012.04.09
  • Published : 2012.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

A depth adjustment method for visual fatigue reduction for depth-image-based rendering (DIBR) system is proposed. One important aspect of the method is that no calibration parameters are needed for adjustment. By analyzing 3D image warping, the perceived depth is expressed as a function of three adjustable parameters: virtual view number, scale factor and depth value of zero parallax setting (ZPS) plane. Adjusting these three parameters according to the proposed parameter modification algorithm when performing 3D image warping can effectively change the perceived depth of stereo pairs generated in DIBR system. As the depth adjustment is performed in simple 3D image warping equations, the proposed method is facilitative for hardware implementation. Experimental results show that the proposed depth adjustment method provides an improvement in visual comfort of stereo pairs as well as generating comfortable stereoscopic images with different perceived depths that people desire.

Keywords

References

  1. X. Yang, J. Liu, J. Sun, X. Li, W. Liu and Y. Gao, "DIBR based view synthesis for free-viewpoint television," in Proc. of 5th 3DTV Conference, pp.1-4, May.2011.
  2. P.-J. Lee and Effendi, "Nongeometric distortion smoothing approach for depth map preprocessing," IEEE Transactions on Multimedia, vol.13, no.2, pp.246-254, Apr.2011. https://doi.org/10.1109/TMM.2010.2100372
  3. A. Smolic, K. Mueller, P. Merkle and A. Vetro, "Development of a new MPEG standard for advanced 3D video applications," in Proc. of 6th International Symposium on Image and Signal Processing and Analysis, pp.400-407, Sep.2009.
  4. D. Kim and K. Sohn, "Visual Fatigue Prediction for stereoscopic image," IEEE Transactions on Circuits and Systems for Video Technology, vol.21, no.2, pp.231-236, Feb.2011. https://doi.org/10.1109/TCSVT.2011.2106275
  5. R. Liu, Q. Zhu, X. Xu, L. Zhi, H. Xie, J. Yang and X. Zhang, "Stereo effect of image converted from planar," INFORMATION SCIENCES, vol.178, no.8, pp.2079-2090, Apr.2008. https://doi.org/10.1016/j.ins.2007.12.008
  6. D. Kim and K. Sohn, "Depth adjustment for stereoscopic image using visual fatigue prediction and depth-based view synthesis," in Proc. of 2010 IEEE International Conference on Multimedia and Expo, pp.956-961, Jul.2010.
  7. T. Bando, A. Iijima and S. Yano, "Visual fatigue caused by stereoscopic images and the search for the requirement to prevent them: A review," Displays, Sep.2011.
  8. L. Zhang and W.J. Tam, "Stereoscopic Image Generation Based on Depth Images for 3D TV," IEEE TRANSACTIONS ON BROADCASTING, vol.51, no.2, pp.191-199, Jun.2005. https://doi.org/10.1109/TBC.2005.846190
  9. M. Kim, "Post-processing of multiview images: Depth scaling," in Proc. of 6th International Conference on Information Technology, pp.1275-1279, Apr.2009.
  10. J. Choi, D. Kim, B. Ham, S. Choi and K Sohn, "Visual fatigue evaluation and enhancement for 2D-plus-depth video," in Proc. of 2010 17th IEEE International Conference on Image Processing, pp.2981-2984, Sep.2010.
  11. R. Liu, H. Xie, G. Tai, Y. Tan, R. Guo, W. Luo, X. Xu and J. Liu, "Depth adjustment for depth-image-based rendering in 3D TV system," Journal of Information and Computational Science, vol.8, no.16, pp.4233-4240, Dec.2011.
  12. T.-C. Lin, H.-C. Huang and Y.-M. Huang, "Preserving depth resolution of synthesized images using parallax-map-based dibr for 3D-TV," IEEE Transactions on Consumer Electronics, vol.56, no.2, pp.720-727, Jul.2010. https://doi.org/10.1109/TCE.2010.5505993
  13. J. J. Hwang and H. R. Wu, "stereo image quality assessment using visual attention and distortion predictors," Ksii Transactions on Internet and Information Systems, vol.5, no.9, pp.1613-1631, 2011.
  14. M. Kim, Y. Cho, H. G. Choo, J. Kim and K. S. Park, "Effects of depth map quantization for computer-generated multiview images using depth image-based rendering," ksii transactions on internet and information systems, vol.5, no.11, pp.2175-2190, 2011.
  15. W. J. Tam, F. Speranza, S. Yano, K. Shimono and H. Ono, "Stereoscopic 3D-TV: Visual comfort," IEEE TRANSACTIONS ON BROADCASTING, vol.57, no.2, pp.335-346, Jun.2011.
  16. C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder and R. Szeliski, "High-quality video view interpolation using a layered representation," ACM SIGGRAPH and ACM Trans. on Graphics, vol.23, no.3, pp.600-608, Aug.2004. https://doi.org/10.1145/1015706.1015766
  17. G. Zhang, J. Jia, T.-T. Wong and H. Bao, "Consistent depth maps recovery from a video sequence," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, no.6, pp.974-988, Jun.2009. https://doi.org/10.1109/TPAMI.2009.52
  18. F.L. Kooi and A. Toet, "Visual comfort of binocular and 3D displays," Displays, vol.25, no.2-3, pp.99-108, Sep.2004. https://doi.org/10.1016/j.displa.2004.07.004
  19. HDMI Licensing LLC, "High-Definition Multimedia Interface Specification Version 1.4," 2010.

Cited by

  1. Real-time ultra-high definition multiview glasses-free 3D display system vol.35, pp.3, 2019, https://doi.org/10.1007/s00371-018-1508-8