Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (4): 136-140.doi: 10.3969/j.issn.1000-565X.2010.04.025

• Computer Science & Technology • Previous Articles     Next Articles

Depth Recovery from Defocus Based on Relative Blur and Edge Enhancement

Zhang Quan-bing  Zhang Ai-ming   

  1. Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education,Anhui University,Hefei 230039,Anhui,China
  • Received:2009-04-07 Revised:2009-10-16 Online:2010-04-25 Published:2010-04-25
  • Contact: 章权兵(1977-),男,博士,副教授,主要从事计算机视觉与图像处理研究. E-mail:qbzhang@ahu.edu.cn
  • About author:章权兵(1977-),男,博士,副教授,主要从事计算机视觉与图像处理研究.
  • Supported by:

    国家自然科学基金资助项目(60603083 60872106)

Abstract:

This paper deals with the depth recovery from defocused images by improving Favaro's iteration method based on thermal diffusion equations.In the investigation,two defocused images are respectively divided into two regions according to the relative blur,whose borders are highly consistent with the image edge and can be easily determined by strengthening the image edge during the solving of the thermal diffusion equation via iteration.The depth can be accurately obtained according to the determined U+ and U-boundaries.The effectiveness of the proposed method is then validated by simulation and real image experiment.Simulated results show that the proposed method is of high robustness,and the real-image experimental results show that the method is superior to Favaro's method in terms of depth recovery.

Key words: defocused image, depth recovery, thermal diffusion, relative blur, image edge