计算机工程与科学2018，Vol.40Issue(4)：699-706,8.DOI:10.3969/j.issn.1007-130X.2018.04.017
一种自适应分数阶偏微分图像增强模型
An adaptive fractional-order partial differential image enhancement model
摘要
Abstract
Aiming at the shortcoming that the conventional adaptive image enhancement algorithms based on fractional-order partial differential equations have not good enhance performance on the dark texture region,taking into account the different sensitivity of the human eye to the light sensation,the impact of brightness on vision is combined with the conventional adaptive image enhancement algorithms based on fractional-order partial differential equations.A new adaptive fractional-order partial differential image enhancement model is established by using the gradient and gray value as parameters,which improves the shortcoming of the previous model in enhancing the dark region image.The average gradient of the enhanced image is increased significantly and the image's visual effect is improved superiorly,which shows that the proposed algorithm has some validity.关键词
图像增强/分数阶/自适应/偏微分方程/暗区图像增强Key words
image enhancement/fractional order/adaptive/partial differential equations/dark space image enhancement分类
信息技术与安全科学引用本文复制引用
李伟凯,王政霞,蒋伟..一种自适应分数阶偏微分图像增强模型[J].计算机工程与科学,2018,40(4):699-706,8.基金项目
国家自然科学基金(61004118,11071266,11401060) （61004118,11071266,11401060）
重庆市教委科学技术研究项目(KJ1500501 （）
KJ1755492) （）
重庆市自然科学基金(cstc2015jcyjA70010) （cstc2015jcyjA70010）
2016年重庆市研究生科研创新项目(CYS16183) （CYS16183）
2015年重庆交通大学实验教学改革与研究项目(SYJG201532) （SYJG201532）
