IEICE TRANSACTIONS on Information
Deep Convolutional Neural Networks for Manga Show-Through Cancellation
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.11 pp.2844-2848
- Publication Date
- 2018/11/01
- Publicized
- 2018/08/02
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018EDL8051
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Taku NAKAHARA
Tokyo University of Science
Kazunori URUMA
Kogakuin University
Tomohiro TAKAHASHI
Tokai University
Toshihiro FURUKAWA
Tokyo University of Science
Keyword
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Taku NAKAHARA, Kazunori URUMA, Tomohiro TAKAHASHI, Toshihiro FURUKAWA, "Deep Convolutional Neural Networks for Manga Show-Through Cancellation" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 11, pp. 2844-2848, November 2018, doi: 10.1587/transinf.2018EDL8051.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8051/_p
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@ARTICLE{e101-d_11_2844,
author={Taku NAKAHARA, Kazunori URUMA, Tomohiro TAKAHASHI, Toshihiro FURUKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Deep Convolutional Neural Networks for Manga Show-Through Cancellation},
year={2018},
volume={E101-D},
number={11},
pages={2844-2848},
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.},
keywords={},
doi={10.1587/transinf.2018EDL8051},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Deep Convolutional Neural Networks for Manga Show-Through Cancellation
T2 - IEICE TRANSACTIONS on Information
SP - 2844
EP - 2848
AU - Taku NAKAHARA
AU - Kazunori URUMA
AU - Tomohiro TAKAHASHI
AU - Toshihiro FURUKAWA
PY - 2018
DO - 10.1587/transinf.2018EDL8051
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2018
AB - 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.
ER -
English
