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Overview of Digital Image Restoration

查看全文 作  者:Wei [1,2]Chen;Tingzhu [1,2]Sun;Fangming [1,2]Bi;Tongfeng [1,2]Sun;Chaogang [1,2]Tang;Biruk [1,3]Assefa 高影响力作者 机构地区:[1]College of Computer Science and Technology,China University of Mining and Technology,Xuzhou,221116,China;[2]Mine Digitization Engineering Research Center of the Ministry of Education,China University of Mining and Technology,Xuzhou,221116,China;[3]Infromation Communication Technology Department,Wollo University,Dessie Ethiopia,P.o Box 1145,Ethiopia高影响力机构 出  处:《Journal of New Media》索引2019年第1卷第1期,共10页高影响力期刊 基  金:The research is supported by National Natural Science Foundation of China(Grant No.51874300);the National Natural Science Foundation of China and Shanxi Provincial People’s Government Jointly Funded Project of China for Coal Base and Low Carbon(Grant No.U1510115);National Natural Science Foundation of China(51104157);the Qing Lan Project,the China Postdoctoral Science Foundation(Grant No.2013T60574);the Scientific Instrument Developing Project of the Chinese Academy of Sciences(Grant No.YJKYYQ20170074). 摘  要:Image restoration is an image processing technology with great practical value in the field of computer vision.It is a computer technology that estimates the image information of the damaged area according to the residual image information of the damaged image and carries out automatic repair.This article firstly classify and summarize image restoration algorithms,and describe recent advances in the research respectively from three aspects including image restoration based on partial differential equation,based on the texture of image restoration and based on deep learning,then make the brief analysis of digital image restoration of subjective and objective evaluation method,and briefly summarize application of digital image restoration technique in the future and prospects,provide direction for the research on image after repair. 关 键 词:Image inpainting variational PDE TEXTURE evaluation method
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