Over exposed image information recovery via stochastic resonance

doi:10.1088/1674-1056/21/4/044204

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.

Keywords: stochastic resonance image information recovery dynamic range over exposure

Received: 01 March 2011
Revised: 28 July 2011
Accepted manuscript online:

PACS:	42.30.-d	(Imaging and optical processing)
	05.40.-a	(Fluctuation phenomena, random processes, noise, and Brownian motion)
	02.50.-r	(Probability theory, stochastic processes, and statistics)

Fund: 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).

Corresponding Authors: Yang Yi-Bing,ultima918@gmail.com
E-mail: ultima918@gmail.com

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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) Over exposed image information recovery via stochastic resonance 2012 Chin. Phys. B 21 044204

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Over exposed image information recovery via stochastic resonance

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