Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (9): 100-106.doi: 10.3969/j.issn.1000-565X.2015.09.016

• Computer Science & Technology • Previous Articles     Next Articles

Self-Adaptive Stereo Image Synthesis Algorithm for Auto-Stereoscopic Display

Hou Chun-ping  Chen Lei  Wang Xiao-yan  Wang Zhi-yuan   

  1. School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China
  • Received:2015-01-09 Revised:2015-03-25 Online:2015-09-25 Published:2015-09-07
  • Contact: 侯春萍(1957-),女,教授,博士生导师,主要从事立体显示研究. E-mail:hcp@ tju.edu.cn
  • About author:侯春萍(1957-),女,教授,博士生导师,主要从事立体显示研究.
  • Supported by:
    Supported by the National High-Tech R&D Program of China(2012AA03A301),the Major Research Program
    of the National Natural Science Foundation of China(91320201),the National Natural Science Foundation of China(61471262)and the Specialized Research Fund for the Doctoral Program of Higher Education of China(20110032110029,20130032110010)

Abstract: In the existing stereo image synthesis algorithms used in the auto-stereoscopic display,the inclination
angle of image synthesis is inflexible,the synthesis process is slow and the effect is poor.Therefore,we propose a novel algorithm named as self-adaptive stereo image synthesis algorithm,which adjusts the inclination angle during the process of image synthesis based on the theory of binocular stereo vision used in the auto-stereoscopic display.In the algorithm,a novel law of judgment named the law of judgment by the first column sub-pixels is proposed and then the inclination angle of the image to be unmapped is adjusted automatically according to the inclination angles of the partial mapped images during the process of image synthesis,so that the judgment number of sub-pixels can be decreased and thus the synthesis of stereo images can be sped up. Simulation results demonstrate that the proposed algorithm is suitable for the auto-stereoscopic display equipment with any inclination angle of parallax barrier and can make the synthesis more reasonable.

Key words: stereo image, self-adaptive, synthesis algorithm, parallax barrier, auto-stereoscopic display