摘要
针对小波变换的单尺度(SSR)Retinex的真彩色图像增强算法的不足,文章提出了一种基于非抽样小波变换的多尺度(MSR)Retinex参数融合的真彩色图像增强算法,该算法在HSV空间下将亮度分量V按3个不同参数进行Retinex变换,对得到的不同参数再进行基于非下采样小波变换的融合,进而得到融合后的V分量,最后,将处理后的高低频系数进行反变换得到增强后结果图像。
A novel color image enhancement, which is based on MSR Retinex parameter fusion, is proposed in this paper. Firstly, the RGB image is transformed to HSV space. Then the V component is performed on Retinex transformation based on three different parameters. Secondly, those three parameters are fused on non-subsampling wavelet transformation. Finally, the fused V component is performed inverse HSV transformation. Thus, the new enhanced image is obtained. The fused images are performed inverse wave transform and inverse HSV transform. And the result enhancement image is obtained.
作者
白晨帅
魏洁柔
苏维亚
王亚丁
Bai Chenshuai;Wei Jierou;Su Weiya;Wang Yading(School of Computer Science, Xianyang Normal University, Xianyang 712000, China)
出处
《无线互联科技》
2019年第1期105-106,112,共3页
Wireless Internet Technology
基金
国家级大学生创新创业训练项目
项目编号:201810722003
陕西省大学生创新创业训练项目
项目编号:201828003
咸阳师范学院大学生创新创业训练项目
项目编号:2018014
