| Presentation | 2021-06-24 Improvement of Verification Accuracy Using CNN for Color Halftone Images Yuto Matsuoka, Shoko Imaizumi, Takahiko Horiuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose an automatic collation method, which improves the verification accuracy against visual comparison results, for CMYK color halftone images by using convolutional neural network (CNN). It is re- quired to obtain identical outputs from a single printer regardless of the version of operation systems (OSs) or printer driver. However, in practical, some difference might be perceptually caused in a pair of output images when an RGB image is converted to a CMYK color halftone image. Conventionally, such output images have been manually checked. This task, however, requires a great deal of effort. Therefore, the proposed method adopts VGG16, which is a typical model of CNN, for learning the results based on visual comparison. We evaluate the collation accuracy of the proposed method compared with the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | color halftone images / CNN / VGG16 / automatic collation |
| Paper # | SIS2021-3 |
| Date of Issue | 2021-06-17 (SIS) |
| Conference Information | |
| Committee | SIS / IPSJ-AVM |
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| Conference Date | 2021/6/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) / Hiroyuki Kasai(Waseda Univ.) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
| Secretary | Tomoaki Kimura(National Inst. of Tech., Ube College) / Naoto Sasaoka(NTT) / (NTT) |
| Assistant | Soh Yoshida(Kansai Univ.) / Yoshiaki Makabe(Kanagawa Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems / Special Interest Group on Audio Visual and Multimedia Information Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of Verification Accuracy Using CNN for Color Halftone Images |
| Sub Title (in English) | |
| Keyword(1) | color halftone images |
| Keyword(2) | CNN |
| Keyword(3) | VGG16 |
| Keyword(4) | automatic collation |
| 1st Author's Name | Yuto Matsuoka |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Shoko Imaizumi |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Takahiko Horiuchi |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2021-06-24 |
| Paper # | SIS2021-3 |
| Volume (vol) | vol.121 |
| Number (no) | SIS-73 |
| Page | pp.pp.13-18(SIS), |
| #Pages | 6 |
| Date of Issue | 2021-06-17 (SIS) |