激光与光电子学进展, 2020, 57 (22): 221006, 网络出版: 2020-10-24   

基于信息熵和梯度因子的改进Criminisi图像修复方法 下载: 935次

An Improved Criminisi Image Inpainting Method Based on Information Entropy and Gradient Factor
王凤随 1,2,3,*刘正男 1,2,3付林军 1,2,3
作者单位
1 教育部高端装备先进感知与智能控制重点实验室, 安徽 芜湖 241000
2 安徽省电气传动与控制重点实验室, 安徽 芜湖 241000
3 安徽工程大学电气工程学院, 安徽 芜湖 241000
引用该论文

王凤随, 刘正男, 付林军. 基于信息熵和梯度因子的改进Criminisi图像修复方法[J]. 激光与光电子学进展, 2020, 57(22): 221006.

Fengsui Wang, Zhengnan Liu, Linjun Fu. An Improved Criminisi Image Inpainting Method Based on Information Entropy and Gradient Factor[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221006.

参考文献

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王凤随, 刘正男, 付林军. 基于信息熵和梯度因子的改进Criminisi图像修复方法[J]. 激光与光电子学进展, 2020, 57(22): 221006. Fengsui Wang, Zhengnan Liu, Linjun Fu. An Improved Criminisi Image Inpainting Method Based on Information Entropy and Gradient Factor[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221006.

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