IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Deep Convolutional Neural Networks for Manga Show-Through Cancellation
Taku NAKAHARAKazunori URUMATomohiro TAKAHASHIToshihiro FURUKAWA
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2018 Volume E101.D Issue 11 Pages 2844-2848

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Abstract

Recently, the demand for the digitization of manga is increased. Then, in the case of an old manga where the original pictures have been lost, we have to digitize it from comics. However, the show-through phenomenon would be caused by scanning of the comics since it is represented as the double sided images. This letter proposes the manga show-through cancellation method based on the deep convolutional neural network (CNN). Numerical results show that the effectiveness of the proposed method.

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© 2018 The Institute of Electronics, Information and Communication Engineers
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