中国物理B ›› 2012, Vol. 21 ›› Issue (4): 44204-044204.doi: 10.1088/1674-1056/21/4/044204

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇    下一篇

杨异秉,陶伟明,黄家闽,徐博侯   

  • 收稿日期:2011-03-01 修回日期:2011-07-28 出版日期:2012-02-29 发布日期:2012-02-29
  • 通讯作者: 杨异秉,ultima918@gmail.com E-mail:ultima918@gmail.com

Over exposed image information recovery via stochastic resonance

Yang Yi-Bing(杨异秉), Tao Wei-Ming(陶伟明), Huang Jia-Min(黄家闽), and Xu Bo-Hou(徐博侯)   

  1. Department of Mechanics, State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
  • Received:2011-03-01 Revised:2011-07-28 Online:2012-02-29 Published:2012-02-29
  • Contact: Yang Yi-Bing,ultima918@gmail.com E-mail:ultima918@gmail.com
  • Supported by:
    Project supported by the State Key Laboratory Fund of Fluid Power Transmission and Control and the National Natural Science Foundation of China (Grant Nos. 10932009 and 10972194).

Abstract: Over exposure is rather annoying in photo taking. However, in some severe light conditions over exposure is inevitable using conventional cameras due to the limitation of dynamic range of the image sensor. The over exposed information would be completely lost and unrecoverable. In order to cope with this problem, we propose a novel technique in which the noise is used to enlarge the dynamic range of the image sensor. The essential mechanism that noise contributes to the information recovery is investigated. It is also proved that the visibility of regained information can reach the peak when specifically added noise is synchronized with the image sensor, thus activating the phenomenon of stochastic resonance (SR). Four different types of noises are investigated to show the effects of variant distributions on the quality of recovered information. The experimental outcomes are consistent with our theoretical results, which indicates that the SR-based lost information recovery is quite promising.

Key words: stochastic resonance, image information recovery, dynamic range, over exposure

中图分类号:  (Imaging and optical processing)

  • 42.30.-d
05.40.-a (Fluctuation phenomena, random processes, noise, and Brownian motion) 02.50.-r (Probability theory, stochastic processes, and statistics)