低对比度图像的清晰化与增强  

Definition and Enhancement of Low Contrast Images

作　　者：陈子妍 CHEN Zi-yan(Department of Physical Education,Anhui Defence Vacation College,Guiyang Guizhou 550025,China)

机构地区：[1]贵州大学电气工程学院

出　　处：《科技视界》2019年第14期74-75,共2页Science & Technology Vision

摘　　要：图像增强技术作为数字图像处理主要的研究内容之一,其目的是将一幅图像中有用的信息进行增强,同时将无用的信息进行抑制,提高图像的可观察性,从而得到更具有实用性的图像。文章主要研究了传统的图像增强算法,第一,对比度展宽算法,通过抑制非重要信息的对比度扩展重要信息的对比度增强图像;第二,动态范围调整,通过压缩动态范围,将所关心部分的灰度级变化范围扩大增强图像;第三,直方图均衡化,对图像中像素个数多的灰度值进行展宽,对像素少的灰度值进行归并,从而增强图像。经过实验结果验证,这三个方法最终都得到了显著的增强效果,达到了图像增强的目的。Image enhancement technology,as one of the major research content of digital image processing,its purpose is to the useful information in an image enhanced,at the same time will be useless information information suppressed,improve the observability of the image,so as to get more practical image.Therefore,image enhancement is an important research topic in the field of image processing.This paper mainly studied the traditional image enhancement algorithms,First,the contrast enhancement algorithm,which expands the contrast of important information by suppressing the contrast of non-important information.Second,the dynamic range adjustment,by compressing the dynamic range,enlarging the level of gray scale of the concerned part to enlarge the image.Third,the histogram equalization,the grey scale value of the number of pixels in the image is expanded,and the grey value of the pixel is merged to enhance the image.Through experimental results,the three methods have been shown to enhance the image enhancement.

关 键 词：图像增强 对比度展宽 动态范围调整 直方图均衡化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]