| Presentation | 2018-06-15 Image Demosaicking via Chrominance Images with Convolutional Neural Networks Takuro Yamaguchi, Masaaki Ikehara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Demosaicking is play a vital role in image processing. Many conventional demosaicking methods are based on hand-crafted filters. However, the filters yield some errors in edge regions or texture regions. In this paper, we propose a CNN-based demosaicking method. CNN leads to high accuracy in many field, however, there are few methods in demosaicking field. We use the Bayer image without any interpolation as input and chrominance images as output. Besides, we prepare four networks classified the centered pixel of a local region in Bayer images. Experimental results show our CNN-based approach produces high quality restored image. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Demosaicking / Convolution Neural Network (CNN) / Color Filter Array (CFA) / Deep Learning / Learning based |
| Paper # | CAS2018-35,VLD2018-38,SIP2018-55,MSS2018-35 |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) |
| Conference Information | |
| Committee | CAS / SIP / MSS / VLD |
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| Conference Date | 2018/6/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System and Signal Processing, etc |
| Chair | Hideaki Okazaki(Shonan Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Morikazu Nakamura(Univ. of Ryukyus) / Noriyuki Minegishi(Mitsubishi Electric) |
| Vice Chair | Taizo Yamawaki(Hitachi) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Shigemasa Takai(Osaka Univ.) / Nozomu Togawa(Waseda Univ.) |
| Secretary | Taizo Yamawaki(Shonan Inst. of Tech.) / Naoyuki Aikawa(Hitachi) / Kazunori Hayashi(Takushoku Univ.) / Shigemasa Takai(Hiroshima Univ.) / Nozomu Togawa(Toshiba) |
| Assistant | Motoi Yamaguchi(Renesas Electronics) / / Hideki Kinjo(Okinawa Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Circuits and Systems / Technical Committee on Signal Processing / Technical Committee on Mathematical Systems Science and its applications / Technical Committee on VLSI Design Technologies |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Demosaicking via Chrominance Images with Convolutional Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Demosaicking |
| Keyword(2) | Convolution Neural Network (CNN) |
| Keyword(3) | Color Filter Array (CFA) |
| Keyword(4) | Deep Learning |
| Keyword(5) | Learning based |
| 1st Author's Name | Takuro Yamaguchi |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Masaaki Ikehara |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2018-06-15 |
| Paper # | CAS2018-35,VLD2018-38,SIP2018-55,MSS2018-35 |
| Volume (vol) | vol.118 |
| Number (no) | CAS-82,VLD-83,SIP-84,MSS-85 |
| Page | pp.pp.185-190(CAS), pp.185-190(VLD), pp.185-190(SIP), pp.185-190(MSS), |
| #Pages | 6 |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) |