结合自适应窗口的二维直方图图像增强  

Image enhancement by two-dimensional histogram with self-adaptive window

作　　者：刘雪超[1,2] 吴志勇[1] 王弟男[1] 杨华[1] 黄德天[3] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100049 [3]华侨大学工学院,福建泉州362000

出　　处：《红外与激光工程》2014年第6期2027-2034,共8页Infrared and Laser Engineering

基　　金：国家高技术研究发展计划;国家自然科学基金

摘　　要：针对成像过程中因各种因素导致图像细节和纹理表现不明显的问题,结合Turgay Celik的二维直方图理论,提出了具有自适应动态窗口的二维直方图图像增强方法。该方法在考虑图像纹理和细节信息的基础上,分析了二维直方图与图像纹理信息的关系特性和固定窗口的弊端,采用基于平均梯度法建立以与区域特性相适应的窗口为单位的二维直方图,将其累积分布与理想分布进行比较优化,实现增强。通过大量实验对比表明,该方法克服固定窗口造成的适应性差、易出现过增强和局部被弱化等问题,其处理后的图像细节丰富,纹理突出,具有更好的视觉效果和工程应用价值。For unsighted detail and texture of images due to many factors during imaging, a novel technique of image enhancement by two-dimensional histogram with self-adaptive window was proposed based on two-dimensional histogram theory of Turgay Celik. This method considered image details and texture. By analyzing the relationship between two-dimensional histogram and texture characteristics and defect of fixed window, self-adaptive window was proposed by average grads. It was suited the region characteristics to construct two-dimensional histogram and accomplish enhancement through comparing the distributing with ideal one. Many experimental results and comparison show that this method can overcome badly adaptability, excessive enhancement, local weakening and other problems caused by fixed window. The enhanced images display clear texture and more pleasing visual content so that the method is useful for engineering.

关 键 词：图像增强 二维直方图 平均梯度 自适应窗口 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术]