空域中基于低对比度图像增强方法  

Enhancement of low contrast image in spatial domain

作　　者：苗晴[1] 戎海武[1] 

机构地区：[1]佛山科学技术学院信息科学与数学系,广东佛山528000

出　　处：《佛山科学技术学院学报（自然科学版）》2007年第4期16-19,共4页Journal of Foshan University(Natural Science Edition)

摘　　要：针对低对比度偏暗并带有噪声的图像,结合人眼的视觉感知特性,提出了一种图像增强的新方法。首先在空域进行中值滤波去噪处理,然后对图像进行分块,对背景的亮度进行粗略估计,并用插值算法平滑数据,最后校正图像的不均匀性并将像素值调整到整个灰度级实现图像的增强。实验结果表明,该方法在去除噪声同时并使图像的整体对比度得到明显的改善,又能突出图像中目标的细节部分信息,有效增强了图像的视觉效果。To solve the problem of low contrast and noise-blurred image, a new image enhancement approach combined with characteristics of human visual consciousness is proposed in this paper. First, a median filter is used to suppress noise in spatial domain, then the image is separated to estimate the brightness of background and the data is smoothed by linearity interpolation, at last, the image is enhanced by adjusting the image to be well-distributed and the pixels to the global grey value. Experiment results show that, this approach can obviously improve the global contrast of image and reduce noise simultaneously, it also highlight the detail information of the target in the image, thus effectively enhances vision effect.

关 键 词：图像增强 对比度 中值滤波 插值算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]