非均匀光照图像自适应Gamma增强算法  

An adaptive gamma enhancement algorithm for non-niform illumination images

作　　者：李渤[1] 朱梅[1] 樊中奎[1] 罗勇[1] 

机构地区：[1]江西理工大学软件学院,江西南昌330013

出　　处：《南昌大学学报（理科版）》2016年第3期299-302,共4页Journal of Nanchang University(Natural Science)

基　　金：国家自然科学基金项目(61363076);江西理工大学校级科研基金项目(NSFJ2015-G2)

摘　　要：非限定条件下,手机和摄像机拍摄的图像或视频,总会存在光照不均匀的现象。目前的处理方法大多实时性差、增强效果不理想。为能高效处理非均匀光照图像,提出一种基于Retinex理论的自适应Gamma增强算法。所提算法对亮度分量进行自适应Gamma校正,并利用反射分量恢复图像的细节和色彩。实验结果表明,所提方法在主观评价、客观评价和处理速度方面均优于其他先进算法。Under non-limiting conditions,the phenomena of non-uniform illumination existed in images or videos captured by mobile cameras and camcorders.As for the existing algorithms to this problem,the realtime performance was poor and the processing results were unsatisfactory.To effectively process non-uniform illumination images,an adaptive Gamma enhancement algorithm based on Retinex theory was proposed.By this algorithm,an adaptive gamma correction was applied on the illumination components and the reflectance component was used to restore the detail and color.As demonstrated in experiments,the proposed method outperforms existing algorithms in terms of subjective assessment,objective assessment and processing speed.

关 键 词：非均匀光照 RETINEX理论 GAMMA校正 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]