摘要
获取图像的过程中,经常会遇到由于事物的投影而影响图像的拍摄效果,导致图像不清晰,图像边缘模糊,无法观察部分事物的细节。通过对比度调整,可以增强图像效果。笔者将需要处理的图像经过USM锐化,增强图像的边缘细节信息,利用限制对比度自适应直方图均衡算法完成提高降质图像的清晰度,并通过实验比较了几种算法的效果。
In the process of image acquisition,we often encounter that the projection of objects affects the effect of image shooting,resulting in blurred image,blurred image edges,unable to observe the details of some things.By adjusting the contrast,the image effect can be enhanced.The image that I need to process is sharpened by USM to enhance the edge details of the image.The sharpness of the degraded image is improved by using the adaptive histogram equalization algorithm with limited contrast.The effects of several algorithms are compared through experiments.
作者
席二辉
Xi Erhui(Department of Computer Science and Engineering,Guangzhou College of Technology and Business,Guangzhou Guangdong510850,China)
出处
《信息与电脑》
2019年第5期69-70,共2页
Information & Computer
基金
广州工商学院项目(项目编号:KA201836)
关键词
对比度
直方图
图像增强
contrast
histogram
image enhancement