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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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
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
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)