南京邮电大学学报（自然科学版）2017，Vol.37Issue(2)：98-106,9.DOI:10.14132/j.cnki.1673-5439.2017.02.016
基于对数图像处理模型的低照度图像增强算法
Enhancement algorithm for low illumination images based on LIP model
摘要
Abstract
To solve the problems of low illumination for the images obtained by the situation of the poor light in image acquisition or video surveillance applications,a new image enhancement algorithm is proposed based on human visual properties by combining the color constancy theory with the logarithmic image processing model.Firstly,RGB color images are converted into HSV color space by the algorithm.Secondly,the improved filter based logarithmic image processing(LIP) model is used to obtain the reflection image,keeping high frequency components better.Then,each pixel of scene illumination is enhanced according to the coefficient calculated by local background brightness,which can improve the brightness and contrast of image.The experimental results show that the new algorithm based on human visual properties can effectively improve the overall contrast of the image and keep the details with better subjective visual perception.关键词
图像增强/对数图像处理模型/Retinex理论/低照度图像Key words
image enhancement/logarithmic image processing (LIP) model/Retinex theory/low illumination image分类
信息技术与安全科学引用本文复制引用
林宝栋,唐贵进,干宗良,崔子冠,刘峰..基于对数图像处理模型的低照度图像增强算法[J].南京邮电大学学报（自然科学版）,2017,37(2):98-106,9.基金项目
国家自然科学基金(61471201,61501260)、江苏省自然科学基金(BK20130867)、江苏省高校自然科学重大项目(13KJA51004)、江苏省科协首席专家(工程师)基金和南京邮电大学自然科学基金(NY214039)资助项目 （61471201,61501260）
