东南大学学报（自然科学版）Issue(6)：1051-1056,6.DOI:10.3969/j.issn.1001-0505.2015.06.005
基于视觉感知与梯度域的遥感图像对比度增强变分模型
Variational model for contrast enhancement of remote sensing images based on perception and gradient domain
马宁 1周则明 2张鹏 1罗立民1
作者信息
- 1. 解放军理工大学气象海洋学院，南京 211101
- 2. 东南大学计算机科学与工程学院，南京 210096
- 折叠
摘要
Abstract
A novel variational model for contrast enhancement of remote sensing images is proposed based on the perceptual-based variational model and the gradient-based variational model.First,the Gaussian enhancement function is designed for the gradient enhancement term.This function uses the Gaussian filter to preprocess the image to overcome the shortage that the gradient is sensitive to noise,and it can keep or enhance the gradient information adaptively according to the gradient infor-mation of the source image.Then,the gradient enhancement term is introduced into the perceptual-based enhancement model to improve the contrast and preserve more detail information of the source image.Finally,the gradient descent flow method is applied to minimize the energy functional and the numerical scheme is used to acquire the optimization solution.The effectiveness of the proposed model is verified from global and local contrast enhancement.The experimental results show that compared with other existing variational enhancement models,the local contrast enhancement model can achieve better subjective visual effect and objective performance evaluation.关键词
视觉感知/梯度域/变分/对比度增强Key words
perception/gradient domain/variational/contrast enhancement分类
信息技术与安全科学引用本文复制引用
马宁,周则明,张鹏,罗立民..基于视觉感知与梯度域的遥感图像对比度增强变分模型[J].东南大学学报（自然科学版）,2015,(6):1051-1056,6.
