Foggy Image Enhancement Based on Filter Variable Multi-Scale Retinex

Fei Zeng; Qing Wu; Jun Du

doi:10.4028/www.scientific.net/AMM.505-506.1041

Paper Titles

Study on Performance Measurement of Beijing Urban Expressway Based on Microwave Data
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 505-506Foggy Image Enhancement Based on Filter Variable...

Foggy Image Enhancement Based on Filter Variable Multi-Scale Retinex

Abstract:

In foggy weather, contrast and color of images captured by traffic visual surveillance system are degraded significantly. To improve contrast and enlarge gray range of fog-degraded image, an improved filter variable multi-scale Retinex algorithm is presented. From comparing simulation resuts by four algorithms (global histogram equalization, local histogram equalization, multiscale retinex respectively variable filter retinex), the subjective and objective evaluation is summarized respectively. Experimental results show that the method has good universality and practicality to enhance local texture details of foggy image and suppress noise effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 505-506)

Pages:

1041-1045

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.505-506.1041

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Online since:

January 2014

Authors:

Fei Zeng*, Qing Wu, Jun Du

Keywords:

Atmospherical Scattering Model, Foggy Image, Traffic Scene, Vision Enhancement

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* - Corresponding Author

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