Artistic photo filter removal using convolutional neural networks

被引：3

作者：

Bianco, Simone ^{[1
]}

Cusano, Claudio ^{[2
]}

Piccoli, Flavio ^{[1
]}

Schettini, Raimondo ^{[1
]}

机构：

[1] Univ Milano Bicocca, Dept Informat Syst & Commun, Milan, Italy

[2] Univ Pavia, Dept Elect Comp & Biomed Engn, Pavia, Italy

来源：

JOURNAL OF ELECTRONIC IMAGING | 2018年 / 27卷 / 01期

关键词：

photographic filters; convolutional neural networks; image restoration;

D O I：

10.1117/1.JEI.27.1.011004

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a method for the automatic restoration of images subjected to the application of photographic filters, such as those made popular by photo-sharing services. The method uses a convolutional neural network (CNN) for the prediction of the coefficients of local polynomial transformations that are applied to the input image. The experiments we conducted on a subset of the Places-205 dataset show that the quality of the restoration performed by our method is clearly superior to that of traditional color balancing and restoration procedures, and to that of recent CNN architectures for image-to-image translation. (c) 2017 SPIE and IS&T

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页数：14

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