局部对比度增强的彩色图像灰度化参数化算法  

Image decolorization and parameterization algorithm with local contrast enhancement

作　　者：肖剑雄峰 赵汉理[1] 吴承文[1] 

机构地区：[1]温州大学智能信息系统研究所,浙江温州325035

出　　处：《计算机时代》2016年第3期45-49,共5页Computer Era

基　　金：国家自然科学基金项目(61100146);浙江省自然科学基金项目(LY15F020019;LY13F020022);温州市科技计划项目(G20150019)

摘　　要：现有图像灰度化技术对整幅图像作统一的灰度化映射,不能突出局部区域的图像对比度,而人们往往会将注意力关注到图像的感兴趣区域。基于用户简单交互的图像分割技术和全自动的显著性检测算法,本文提出了一种新的局部对比度增强的灰度化参数化算法,增强感兴趣区域的对比度,并弱化不感兴趣区域的对比度。实验结果表示本文方法能够有效地增强灰度化图像在显著性区域的对比度,改善了彩色图像灰度化的效果。Previous image decolorization methods map the whole image to the grayscale image and do not emphasize the image contrast of local regions. In some applications, people may be interested in one region of the image. This paper presents an image pararneterization and decolorizaition algorithm with local contrast enhancement. An interactive image segmentation technique and an automatic saliency exaction algorithm are used to determine the image saliency region. The algorithm enhances the contrast in the interesting region while reducing the contrast in the background. Experimental results show that the proposed method is effective to enhance the contrast of salient regions in the grayscale image.

关 键 词：图像灰度化 图像分割 显著性图 参数化 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]