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.
引文
[1]陈守刚.基于直方图均衡化的彩色图像增强研究[J].重庆三峡学院学报,2011(3):74-77.
[2]韩丽娜,熊杰,耿国华,等.基于HSV空间的双通道同态滤波真彩色图像增强[J].计算机工程与应用,2009(27):18-21.
[3]NAIK S K,MURTHY C A.Hue-preserving color image enhancement without gamut problem[J].IEEE Transfer Image Process,2003(12):1591-1598.
[4]吴粉侠,段群,李洪星.基于非抽样的小波变换的彩色图像增强方法[J].咸阳师范学院学报,2015(4):52-55.
[5]BRU NO A,LUCIANO A,STEFANO B.Context-driven f usion of high spatial and spectral resolution images based on oversampled multiresolution analysis[J].IEEE Transactions on Geoscience and Remote Sensing,2002(10):2300-2312.
[6]DOM N,VETTERLI M.The contourlet transform:an efficient directional multiresolution image representation[J].IEEE Trans on Image Processing,2005(12):2091-2106.
[7]DOM N,VETTERLI M.The finite redgelet transform for image representation[J].IEEE Transactions on Image Processing,2003(1):16-28.
[8]段群,吴粉侠,李红.双通道分块同态滤波彩色图像增强算法[J].计算机技术与发展,2016(1):82-85.112