Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (10): 50-54.doi: 10.3969/j.issn.1000-565X.2011.10.009

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Information Divergence Algorithm Based on Space-Variant Window

Cheng Hong1  Gong Yan-yan1  Zhang Quan-bing1  Zhang Wei2   

  1. 1, Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education,Anhui University,Hefei 230039,Anhui,China; 2. Department of Electronic Engineering,The Chinese University of Hong Kong,Hong Kong 999077,China
  • Received:2010-11-30 Revised:2011-07-05 Online:2011-10-25 Published:2011-09-01
  • Contact: 程鸿(1981-) ，女，博士生，讲师，主要从事计算机视觉、图像处理等的研究． E-mail:chenghong@ahu.edu.cn
  • About author:程鸿(1981-) ，女，博士生，讲师，主要从事计算机视觉、图像处理等的研究．
  • Supported by:

    国家自然科学基金资助项目( 60872106， 41001244) ; 安徽大学青年科学研究基金资助项目( kjqn1010)

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Abstract:

In order to solve such problems existing in the traditional information divergence algorithm as the inconsistence of object image sizes and the low accuracy of the depth recovery in non-contiguous areas,a new information divergence algorithm is proposed based on space-variant window. In this algorithm,first,the homography matrix between two original defocused images is calculated. Then,by using this homography matrix,the original images are rectified to obtain new defocus images of the same size. Moreover,the depth of non-contiguous area is estimated through the space-variant window structure. The simulated and real-image experimental results show that the proposed algorithm can avoid the smoothing depth in discontinuities and improve the precision.

Key words: defocused image, depth recovery, space-variant window, information divergence, equifocal assumption, homography matrix