重庆大学学报：自然科学版2012，Vol.35Issue(10)：63-68,6.
图上自适应正则化的图像去噪
Image denoising based on adaptive graph regularization
摘要
Abstract
Adaptive regularization can select different parameters based on the features of local areas in an image, which can differentiate the edges and noise in an image flexibly. An adaptive graph regularization is proposed based on graph spectral theory and adaptive regularization, which uses the Non local means to generate the weighting function of graph. The adaptive graph regularization equation is used to filter the noisy image. Simulation results show that the proposed method can effectively remove the noise and is superior to other graph theory based partial differential equation methods.关键词
图像去噪/自适应正则化/图论/偏微分方程Key words
image denoising/adaptive regularization/graph theory/partial differential equation分类
信息技术与安全科学引用本文复制引用
刘国金,曾孝平,刘刈..图上自适应正则化的图像去噪[J].重庆大学学报：自然科学版,2012,35(10):63-68,6.基金项目
国家自然科学基金资助项目 （）
重庆市自然科学基金资助项目 （）
重庆大学研究生创新团队项目 （）
中央高校基本科研业务费资助项目（cDJRCl0160003）. （）
