基于优化MSR的夜间道路图像增强方法

doi:10.13229/j.cnki.jdxbgxb20190835

Abstract

Abstract:

In order to improve the image quality of night roads， to promote the visibility and contrast of the target in the image， and to reduce the difficulty of target detection in night road image， a night road image enhancement method based on the optimized Multi-scale Retinex （Multi scale retinex，MSR） algorithm is proposed in this paper. First， the Red， Green and Blue （RGB） image is converted to the YUV color space. Secondly， the optimized MSR algorithm is constructed by using the reciprocal of the Just Noticeable Distortion （Just noticeable distortion，JND） as the coefficient before the incident image in the MSR algorithm， which is used to adjust the brightness of the channel Y adaptively. Meanwhile， the channels of U and V are proportionally adjusted to obtain a new image， which is then combined with the original image in a 1∶1 ratio to preserve the image details. Finally， the Contrast-limited Adaptive Histogram Equalization method （CLAHE） is used to improve image contrast. Experiments on datasets containing 770 images of night road show that the proposed method exhibits the ability to adaptive adjustment of night image brightness， alleviate uneven brightness of the image， enhance the sharpness of nighttime images and the detail information of image. By using the support vector machine algorithm to detect vehicles in image， the missed detection rate and false detection rate are decreased by 2.61% and 4.35%， respectively..

Key words: pattern recognition and intelligent system, image processing, night image enhancement, optimizing MSR algorithm, brightness adaptive adjustment

CLC Number:

TP301.6

Fu LIU,Lu LIU,Tao HOU,Yun LIU. Night road image enhancement method based on optimized MSR[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 323-330.

Figures/Tables 9

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Night road image enhancement method based on optimized MSR

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