基于高斯金字塔和拉普拉斯金字塔融合的图像对比度增强算法研究  

Research on Image Contrast Enhancement Algorithm Based on Fusion of Gaussian Pyramid and Laplacian Pyramid

作　　者：马永强[1] 王顺利[1] 孙伟[1] 刘宝娥 Ma Yongqiang;Wang Shunli;Sun Wei;Liu Bao-e(Department of Computer,Jining Normal University,Ulanqab Inner Mongolia 012000,China)

机构地区：[1]集宁师范学院计算机系,内蒙古乌兰察布012000

出　　处：《信息与电脑》2018年第4期38-40,共3页Information & Computer

基　　金：内蒙古自治区高等学校科学研究项目"基于归一化标量权重映射与融合金字塔的图像对比度增强算法研究"(项目编号:NJZY16318)

摘　　要：为了实现对图像的降噪,兼顾全局整体增强和局部细节增强,首先定义输入图像的对比度度量模型和亮度度量模型,然后构造标量权重映射,并进行归一化处理,接着综合利用高斯金字塔和拉普拉斯金字塔,制定融合规则,利用融合金字塔重构图像,实现图像增强。In order to implement image denoising,as well as can be both global content enhancement and local details enhancement,this paper defined the contrast and brightness metric model,constructed the scalar weight map by these two models and normalized it,then we defined fusion rules of the laplacian pyramid decomposition and the gaussian pyramid decomposition,finally we finished image enhancement by the image reconstruction.

关 键 词：对比度增强算法 高斯金字塔 拉普拉斯金字塔 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]