A method of restoring scratches on old paintings is proposed,and the corresponding high-accuracy output workflow is also developed.Firstly the scanner is selected as an input device to get the RGB(red,green,blue)image...A method of restoring scratches on old paintings is proposed,and the corresponding high-accuracy output workflow is also developed.Firstly the scanner is selected as an input device to get the RGB(red,green,blue)image of the painting,and for the purpose of capturing high-quality image,scanner characterization is done by using neural network.And then the scratches on the RGB image are restored with the technology of digital inpainting,while the inpainting algorithm is mainly based on gradient vector and fast marching method.Finally the restored image is output with a printer,which is calibrated by using the high order polynomial regression method.In experiment the new replicated painting is well restored in the scratched areas,as well as keeps high resemblance with the original painting.展开更多
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 resi...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.展开更多
基金"13115"Sci-Tech Innovation Programof Shaanxi Province,China(No.2008ZDKG39)Youth Foundation of Xi'an University of Technology,China(No.104210807)
文摘A method of restoring scratches on old paintings is proposed,and the corresponding high-accuracy output workflow is also developed.Firstly the scanner is selected as an input device to get the RGB(red,green,blue)image of the painting,and for the purpose of capturing high-quality image,scanner characterization is done by using neural network.And then the scratches on the RGB image are restored with the technology of digital inpainting,while the inpainting algorithm is mainly based on gradient vector and fast marching method.Finally the restored image is output with a printer,which is calibrated by using the high order polynomial regression method.In experiment the new replicated painting is well restored in the scratched areas,as well as keeps high resemblance with the original painting.
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)+2 种基金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).
文摘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.
