Night vision enhancement using Wigner Distribution

Night vision has been a subject of interest of various sectors. Border patrol, automotive industry, defense are just a few examples. Accidents at night could potentially prove fatal. Thus, lately there is a significant interest form automotive industry in conducting research in night vision. In this...

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Bibliographic Details
Main Authors: Vaidya, V.G., Padole, C.N.
Format: Conference Proceeding
Language:English
Subjects:
Automotive engineering
Defense industry
Frequency
Image enhancement
Image resolution
Industrial accidents
Night vision
Noise robustness
Noise shaping
Snow
Wigner distribution
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Summary:Night vision has been a subject of interest of various sectors. Border patrol, automotive industry, defense are just a few examples. Accidents at night could potentially prove fatal. Thus, lately there is a significant interest form automotive industry in conducting research in night vision. In this paper, we propose a new method for enhancing images taken with poor light conditions at night. This method is a modified version of the Wigner distribution. Wigner distribution is one of the time-frequency representations. It has good capability of dealing with noisy images. In this paper, we have shown how the modified Wigner distribution can be effectively used for supplementing driver's vision during night and during snow conditions. The new method is evaluated with mean squared error (MSE) criterion. Quantitative results and visual inspection show the robustness and effectiveness of this algorithm.
DOI:10.1109/ISCCSP.2008.4537421