Presentation 2021-03-03
Remote Sensing Data Restoration by Constraining the Gradients of Stripe Noise
Kazuki Naganuma, Saori Takeyama, Shunsuke Ono,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes an effective and efficient restoration methods for remote-sensing data by constraining the gradient of stripe noise. Stripe noise removal of remote-sensing data is one of the essential restoration task because stripe noise affects not only the visual quality but also subsequent processing. For stripe noise removal, an optimization technique is often used. In this paper, we adopt the gradient constraints of stripe noise to the optimization problem because the stripe noise has the fact that the spatial and temporal gradients are equal to zero. Our method imposes strong constraints on stripe noise, and thus can fully capture stripe noise, leading to much effective stripe noise removal. Also, operations required for handling the constraints of gradient are simple, which enables us to develop an efficient algorithm for solving the problem by a primal-dual splitting method. We demonstrate the advantages of our method over existing methods on restoration experiments using remote-sensing data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) gradient constraintsrestorationstripe noise removalprimal-dual splittingremote sensing data
Paper # EA2020-60,SIP2020-91,SP2020-25
Date of Issue 2021-02-24 (EA, SIP, SP)

Conference Information
Committee EA / US / SP / SIP / IPSJ-SLP
Conference Date 2021/3/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, Ultrasonics, and Related Topics
Chair Kenichi Furuya(Oita Univ.) / Hikaru Miura(Nihon Univ.) / Hisashi Kawai(NICT) / Kazunori Hayashi(Kyoto Univ.) / 北岡 教英(豊橋技科大)
Vice Chair Yoshinobu Kajikawa(Kansai Univ.) / Kentaro Matsui(NHK) / Jun Kondo(Shizuoka Univ.) / Yoshikazu Koike(Shibaura Inst. of Tech.) / / Yukihiro Bandou(NTT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.)
Secretary Yoshinobu Kajikawa(Univ. of Tokyo) / Kentaro Matsui(NTT) / Jun Kondo(Doshisha Univ.) / Yoshikazu Koike(Tohoku Univ.) / (Univ. of Tokyo) / Yukihiro Bandou(Waseda Univ.) / Toshihisa Tanaka(Hosei Univ.) / (Waseda Univ.)
Assistant Yukou Wakabayashi(Tokyo Metropolitan Univ.) / Tatsuya Komatsu(LINE) / Shinnosuke Hirata(Tokyo Inst. of Tech.) / Yusuke Ijima(NTT) / Yuichi Tanaka(Tokyo Univ. Agri.&Tech.)

Paper Information
Registration To Technical Committee on Engineering Acoustics / Technical Committee on Ultrasonics / Technical Committee on Speech / Technical Committee on Signal Processing / Special Interest Group on Spoken Language Processing
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Remote Sensing Data Restoration by Constraining the Gradients of Stripe Noise
Sub Title (in English)
Keyword(1) gradient constraintsrestorationstripe noise removalprimal-dual splittingremote sensing data
1st Author's Name Kazuki Naganuma
1st Author's Affiliation Tokyo Institute of Technology(Titech)
2nd Author's Name Saori Takeyama
2nd Author's Affiliation Tokyo Institute of Technology(Titech)
3rd Author's Name Shunsuke Ono
3rd Author's Affiliation Tokyo Institute of Technology(Titech)
Date 2021-03-03
Paper # EA2020-60,SIP2020-91,SP2020-25
Volume (vol) vol.120
Number (no) EA-397,SIP-398,SP-399
Page pp.pp.5-8(EA), pp.5-8(SIP), pp.5-8(SP),
#Pages 4
Date of Issue 2021-02-24 (EA, SIP, SP)