中山大学学报（自然科学版）2016，Vol.55Issue(5)：8-13,6.DOI:10.13471/j.cnki.acta.snus.2016.05.002
基于自适应 TVp 正则化图像恢复方法
Image restoration method based on adaptive TVp regularization
摘要
Abstract
In order to avoid the staircasing effect and edge blurring problem.A variable TVp norm was defined,and an adaptive TVp (ATVp)regularization model was proposed.Combining the AOS numeri-cal method,a complete ATVp regularization algorithm was shown,where p can be adaptive selected ac-cording to different image areas.The characteristics make the new model preserve the edge information better and avoid the staircasing effect while image restoration.Experiments showed that compared with the existing regularization models,it improved the restoration results in both visual effects and SBR and PSNR.关键词
图像恢复/ATVp 正则/AOS 数值计算Key words
image restoration/ATVpregularization/AOS method分类
信息技术与安全科学引用本文复制引用
李率杰,冯兆永..基于自适应 TVp 正则化图像恢复方法[J].中山大学学报（自然科学版）,2016,55(5):8-13,6.基金项目
国家自然科学基金面上资助项目（11271381，11471339）；国家自然科学基金青年基金资助项目（61301229）；河南省教育厅资助项目（15A110020）；河南科技大学博士科研启动基金资助项目（13480032）；广州市科技计划资助项目 （）
