Ancient books that record the history of different periods are precious for human civilization.But the protection of them is facing serious problems such as aging.It is significant to repair the damaged characters in ...Ancient books that record the history of different periods are precious for human civilization.But the protection of them is facing serious problems such as aging.It is significant to repair the damaged characters in ancient books and restore their original textures.The requirement of the restoration of the damaged character is keeping the stroke shape correct and the font style consistent.In order to solve these problems,this paper proposes a new restoration method based on generative adversarial networks.We use the shape restoration network to complete the stroke shape recovery and the font style recovery.The texture repair network is responsible for reconstructing texture details.In order to improve the accuracy of the generator in the shape restoration network,we use the adversarial feature loss(AFL),which can update the generator and discriminator synchronously to replace the traditional perceptual loss.Meanwhile,the font style loss is proposed to maintain the stylistic consistency for the whole character.Our model is evaluated on the datasets Yi and Qing,and shows that it outperforms current state-of-the-art techniques quantitatively and qualitatively.In particular,the Structural Similarity has increased by 8.0%and 6.7%respectively on the two datasets.展开更多
基金the National Social Science Foundation of China under Grant 19BYY171the Fundamental Research Funds for the Central Universities under Grant XDJK2013C117+4 种基金Ph.D.Fund of Southwest University No.20130553China Postdoctoral Science Foundation under Grant 2015M580765Chongqing Postdoctoral Science Foundation under Grant Xm2016041Chongqing Natural Science Foundation(cstc2019jcyj-msxmX0130)Chongqing City science and technology education research projects(KJQN201801901).
文摘Ancient books that record the history of different periods are precious for human civilization.But the protection of them is facing serious problems such as aging.It is significant to repair the damaged characters in ancient books and restore their original textures.The requirement of the restoration of the damaged character is keeping the stroke shape correct and the font style consistent.In order to solve these problems,this paper proposes a new restoration method based on generative adversarial networks.We use the shape restoration network to complete the stroke shape recovery and the font style recovery.The texture repair network is responsible for reconstructing texture details.In order to improve the accuracy of the generator in the shape restoration network,we use the adversarial feature loss(AFL),which can update the generator and discriminator synchronously to replace the traditional perceptual loss.Meanwhile,the font style loss is proposed to maintain the stylistic consistency for the whole character.Our model is evaluated on the datasets Yi and Qing,and shows that it outperforms current state-of-the-art techniques quantitatively and qualitatively.In particular,the Structural Similarity has increased by 8.0%and 6.7%respectively on the two datasets.
