Night View Road Scene Enhancement Based on Mixed Multi-scale Retinex and Fractional Differentiation

In recent years, image processing has been applied in various industries. In the part of the public road scene, the vehicle camera in night could not be used perfectly as it does in daytime, because it usually gains low visibility by the faint illumination. In order to enhance the visual clear visibility, in this paper, the mixed multi-Retinex algorithm is first introduced to deal with the night view scene, and then using fractional differentiation to make the edge information much clearer. Finally we combined the two methods with center surround function to make the effects better. In the experiment, processing speed is faster than the comparing methods and dark regions has boosted the brightness of the image.

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