计算机技术与发展2018，Vol.28Issue(4)：50-54,5.DOI:10.3969/j.issn.1673-629X.2018.04.011
单幅夜间低照度车载视频图像的增强算法
An Enhanced Algorithm for Single Nighttime Low Illuminated Vehicle-mounted Video Image
摘要
Abstract
In order to solve the problem that the current vehicle HUD system does not deal with the low illumination road conditions,we propose a new enhanced algorithm for the single nighttime vehicle-mounted video image for improvement of the HUD system.First,the maximum value of three RGB channels of each pixel in the degraded image is set as the initial estimated illumination.Secondly,aiming at the problem of inaccurate initial estimated illumination,the estimated illumination is optimized by weighted L1 regularization,and the rati-o of the initial image to the optimized illumination is used as the enhanced image according to the Retinex theory.Finally,the correspond-ing weights are set to address the over-enhancing of the highlight area and amplifying of the noise in dark area,and the initial image and the enhanced image are composed into the final image according to the weights.The comparison with the existing advanced algorithms shows that the enhanced image processed by the proposed algorithm is clear in details with high color restored degree and low noise,and the algorithm runs faster.关键词
夜间低照度/图像增强/优化/单幅车载视频图像Key words
nighttime low-illumination/image enhancement/optimization/single vehicle-mounted video image分类
信息技术与安全科学引用本文复制引用
孙淑杰,董燕成,汤春明,商大伟,匡澄,常继英..单幅夜间低照度车载视频图像的增强算法[J].计算机技术与发展,2018,28(4):50-54,5.基金项目
天津市第三批三年千人计划项目(62014511) （62014511）
天津工业大学引进教师科研启动项目(030367) （030367）
