改进反锐化掩模的自适应图像增强算法  

An Adaptive Image Enhancement Algorithm of Improved Unsharp Masking Method

作　　者：冯鸣 刘祎[1] 张鹏程[1] 王磊[1] FENG Ming;LIU Yi;ZHANG Pengcheng;WANG Lei(Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学生物医学成像与影像大数据山西省重点实验室

出　　处：《测试技术学报》2020年第1期48-53,共6页Journal of Test and Measurement Technology

基　　金：国家自然科学基金资助项目（61671413,61801438）;国家重大科学仪器设备开发专项资助项目（2014YQ24044508）;中北大学青年学术带头人资助项目（QX201801）;山西省青年科学基金资助项目（201801D221196）

摘　　要：图像增强是图像预处理过程中的一个重要环节,传统的线性反锐化掩模是一种常用的图像增强算法,但它在增强图像的同时会放大图像噪声或使边缘部分产生过冲现象,导致图像质量下降.针对这一问题,提出了一种改进反锐化掩模技术的自适应图像增强算法,该算法通过使用正弦函数来自适应地控制邻域内不同像素的权重,使图像平坦区域和边缘部分进行不同程度的增强.实验结果表明该算法对图像边缘细节的增强有了明显的提升,同时也在一定程度上减弱了噪声的放大和边缘过冲现象,改善了图像整体质量.Image enhancement is an important part of image preprocessing.The traditional linear unsharp masking is a common image enhancement algorithm,but while it enhances the image,it will amplify the image noise or cause overshoot at the edges,resulting in image quality degradation.In order to enhance image quality,this paper proposed an adaptive image enhancement algorithm based on improved unsharp masking method,which adaptively controls the weight of different pixels in the neighborhood by using sine function to enhance the image flat area and edge part to different degrees.The experimental results show that the algorithm enhances the detail of the image edge significantly and weakens the noise amplification and the edge overshoot to some extent,which improves the overall image quality.

关 键 词：图像增强 反锐化掩模 自适应 噪声抑制 过冲去除 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]