双通道分块同态滤波彩色图像增强算法  

An Enhanced Algorithm of Color Image Based on Block Homomorphic Filter in Two Channels

作　　者：段群[1] 吴粉侠[1] 李红[1] 

机构地区：[1]咸阳师范学院图形图像处理研究所,陕西咸阳712000

出　　处：《计算机技术与发展》2016年第1期82-85,共4页Computer Technology and Development

基　　金：陕西省教育厅项目(14JK1802);咸阳师范学院基金项目(13XSYK058)

摘　　要：为了有效增强由于光照不均的彩色图像,文中在应用HSV彩色模型空间的基础上,提出了一种基于双通道的分块同态滤波彩色图像增强算法。首先将光照不均源彩色图像从RGB色彩空间模型转换到HSV色彩空间模型。然后为了弥补光照不足引起的图像亮度不均,对变换后的亮度分量做分块巴特沃斯高通同态滤波,之后会出现轻微块效应,为了去除块效应,对相邻子图像边界处亮度值采用3×3邻域均值的亮度值代替;接着为了提高图像的整体对比度,对变换后的饱和度分量做全局巴特沃斯高通同态滤波以便微调增强效果。最后,再将图像从HSV色彩空间模型还原到RGB色彩空间模型。实验结果表明,该算法不仅增加了图像暗区域明亮度,而且颜色保持较好,纹理更清晰。A newenhanced method of non- uniform illumination color image based on block homomorphic filter in two channels was presented on basis of applying HSV color model space. First,a color image is transformed from RGB color space to HSV color space.Then,luminance channel is blocked and enhanced by Butterworth highpass homomorphic filter to compensate for the non- uniform illumination due to lack of light,and the block effect caused by blocking homomorphic filter process is removed by the method of averaging the 3＊ 3 adjacent sub- images boundaries. The saturation channel is slightly enhanced by Butterworth highpass global homomorphic filter to increase image contrast. Last,the color image is transformed from HSV color space to RGB color space. Experiments illustrate that this algorithm can not only correct non- uniform illumination in images,but also maintain a good image color and the local details.

关 键 词：HSV颜色模型 同态滤波 彩色图像增强 块效应 截至频率 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]