Presentation | 2018-10-26 Image Regularization with Morphological Gradient and Total Variation Priors Using Optimization of Structuring Element by GA Shoya Oohara, Mistuji Muneyasu, Soh Yoshida, Makoto Nakashizuka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | As an image prior for image restoration, a method using the sum of morphological gradients for an image has been proposed. Optimization of structuring elements used for this morphological gradient using a genetic algorithm (GA) has also been introduced. In this paper, we formulate the objective function using morphological gradient and total variation (TV) as a new image prior for an image restoration problem. In this case, the proposed objective function makes it possible to match the fitness almost to the objective evaluation and can improve the restoration accuracy. It also solves the problem of artifact due to structuring elements unsuitable for the image. An experiment shows the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | morphology / image restoration / genetic algorithm / sub-gradient / fitness function |
Paper # | SIS2018-17 |
Date of Issue | 2018-10-18 (SIS) |
Conference Information | |
Committee | SIS / ITE-BCT |
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Conference Date | 2018/10/25(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kyoto University Clock Tower Centennial Hall |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
Chair | Takayuki Nakachi(NTT) / Tomoaki Otsuki(Keio Univ) |
Vice Chair | Noriaki Suetake(Yamaguchi Univ.) / Tomoaki Kimura(Kanagawa Inst. of Tech.) / Kyoichi Saito(NHK) / Yasushi Kasuga(TV Asahi) |
Secretary | Noriaki Suetake(Kyushu Inst. of Tech.) / Tomoaki Kimura(Tokyo Metropolitan Univ.) / Kyoichi Saito(B-SAT) / Yasushi Kasuga(NHK) |
Assistant | Takanori Koga(National Inst. of Tech. Tokuyama College) / Hideaki Misawa(National Inst. of Tech., Ube College) / Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Toshiharu Morizumi(NTT) / Iwao Namikawa(Kansai Telecasting Corporation) |
Paper Information | |
Registration To | Technical Committee on Smart Info-Media Systems / Technical Group on Broadcasting Technology |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image Regularization with Morphological Gradient and Total Variation Priors Using Optimization of Structuring Element by GA |
Sub Title (in English) | |
Keyword(1) | morphology |
Keyword(2) | image restoration |
Keyword(3) | genetic algorithm |
Keyword(4) | sub-gradient |
Keyword(5) | fitness function |
1st Author's Name | Shoya Oohara |
1st Author's Affiliation | Kansai University(Kansai Univ.) |
2nd Author's Name | Mistuji Muneyasu |
2nd Author's Affiliation | Kansai University(Kansai Univ.) |
3rd Author's Name | Soh Yoshida |
3rd Author's Affiliation | Kansai University(Kansai Univ.) |
4th Author's Name | Makoto Nakashizuka |
4th Author's Affiliation | Chiba Institute of Technology(CIT) |
Date | 2018-10-26 |
Paper # | SIS2018-17 |
Volume (vol) | vol.118 |
Number (no) | SIS-264 |
Page | pp.pp.77-82(SIS), |
#Pages | 6 |
Date of Issue | 2018-10-18 (SIS) |