低照度自适应图像增强方法研究  

A self-adaptation image enhancement method for low-brightness environment

作　　者：薛英[1] 侯彤璞[1,2] 曹苏杰[1] 

机构地区：[1]辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001 [2]营口理工学院机电工程系,辽宁营口115014

出　　处：《信息技术》2014年第10期76-81,共6页Information Technology

摘　　要：在夜间低照度情况下,应用于智能交通的目标检测与跟踪算法性能急剧下降,不能满足实际需求。为此提出一种夜间低照度彩色图像增强方法,提高图像的视觉效果,使智能交通系统全时工作成为可能。采用RGB三通道联合增强的方式,从亮度和对比度两方面协同改善图像质量;打破伽玛校正用于对比度增强的惯例,利用伽玛校正进行亮度调节并联合对比度增强函数来实现图像增强;通过对图像质量整体评价自适应计算变换参数。实验结果表明:算法简洁、效果良好,具有一定的使用价值。A color image enhancement method is proposed tor improving visual ettect ot image, usea 1or detection and tracking of moving object. It was aiming at improving the performance of detection and tracking in intelligent transportation system. The proposed algorithm considered the correlations among the three channels of RGB color space, improving brightness and contrast of image together, used adaptive gamma correction and nonlinear transform for adjustment of brightness and contrast. The experiments show that the method reached better result with less complexity, especially, in the situation of lower brightness, contrast and saturation.

关 键 词：智能交通系统 彩色图像增强 三通道联合 自适应伽玛校正 自适应对比度拉伸 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]