JPWO2021193779A1 - - Google Patents

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Publication number
JPWO2021193779A1
JPWO2021193779A1 JP2022510634A JP2022510634A JPWO2021193779A1 JP WO2021193779 A1 JPWO2021193779 A1 JP WO2021193779A1 JP 2022510634 A JP2022510634 A JP 2022510634A JP 2022510634 A JP2022510634 A JP 2022510634A JP WO2021193779 A1 JPWO2021193779 A1 JP WO2021193779A1
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JP
Japan
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Application number
JP2022510634A
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Japanese (ja)
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JP7639810B2 (ja
JPWO2021193779A5 (https=
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Publication of JPWO2021193779A1 publication Critical patent/JPWO2021193779A1/ja
Publication of JPWO2021193779A5 publication Critical patent/JPWO2021193779A5/ja
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/77—Retouching; Inpainting; Scratch removal
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/387—Composing, repositioning or otherwise geometrically modifying originals
    • H04N1/3871—Composing, repositioning or otherwise geometrically modifying originals the composed originals being of different kinds, e.g. low- and high-resolution originals
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
JP2022510634A 2020-03-27 2021-03-24 カラー画像補完方法及びニューラルネットワーク学習方法 Active JP7639810B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202063001012P 2020-03-27 2020-03-27
US63/001,012 2020-03-27
PCT/JP2021/012428 WO2021193779A1 (ja) 2020-03-27 2021-03-24 カラー画像補完方法及びニューラルネットワーク学習方法

Publications (3)

Publication Number Publication Date
JPWO2021193779A1 true JPWO2021193779A1 (https=) 2021-09-30
JPWO2021193779A5 JPWO2021193779A5 (https=) 2022-12-06
JP7639810B2 JP7639810B2 (ja) 2025-03-05

Family

ID=77892709

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022510634A Active JP7639810B2 (ja) 2020-03-27 2021-03-24 カラー画像補完方法及びニューラルネットワーク学習方法

Country Status (3)

Country Link
US (1) US12327329B2 (https=)
JP (1) JP7639810B2 (https=)
WO (1) WO2021193779A1 (https=)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7639810B2 (ja) * 2020-03-27 2025-03-05 株式会社ソシオネクスト カラー画像補完方法及びニューラルネットワーク学習方法
US12175641B2 (en) * 2021-06-04 2024-12-24 Adobe Inc. Restoring degraded digital images through a deep learning framework
US12524912B1 (en) * 2022-10-26 2026-01-13 Meta Platforms Technologies, Llc Fusion and super-resolution of monochrome and color images using deep neural networks
US12505514B2 (en) * 2023-02-08 2025-12-23 Ford Global Technologies, Llc System and method to fade blended image edges
US12444037B2 (en) * 2023-04-28 2025-10-14 The Boeing Company Creating synthetic data for composite inspection
CN117291206A (zh) * 2023-10-09 2023-12-26 广州市西克传感器有限公司 一种基于深度学习ocr识别的补码系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007233833A (ja) * 2006-03-02 2007-09-13 Nippon Hoso Kyokai <Nhk> 画像歪補正装置
JP2018207497A (ja) * 2018-07-19 2018-12-27 キヤノン株式会社 画像処理装置及び画像処理方法、撮像装置、プログラム、並びに記憶媒体
JP2020030681A (ja) * 2018-08-23 2020-02-27 ファナック株式会社 画像処理装置
JP2020042367A (ja) * 2018-09-06 2020-03-19 Ａｗｌ株式会社 学習システム、サーバ、及び特徴量画像描画補間プログラム

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4466569B2 (ja) * 2006-01-10 2010-05-26 株式会社豊田中央研究所 カラー画像再生装置
US8452086B2 (en) * 2009-07-10 2013-05-28 Palo Alto Research Center Incorporated System and user interface for machine-assisted human labeling of pixels in an image
US10638060B2 (en) * 2016-06-28 2020-04-28 Intel Corporation Color correction of RGBIR sensor stream based on resolution recovery of RGB and IR channels
US11625812B2 (en) * 2019-11-01 2023-04-11 Microsoft Technology Licensing, Llc Recovering occluded image data using machine learning
JP7639810B2 (ja) * 2020-03-27 2025-03-05 株式会社ソシオネクスト カラー画像補完方法及びニューラルネットワーク学習方法
BR102020027013A2 (pt) * 2020-12-30 2022-07-12 Samsung Eletrônica da Amazônia Ltda. Método para gerar uma imagem multiplano adaptativa a partir de uma única imagem de alta resolução
US12120472B2 (en) * 2021-03-17 2024-10-15 Mediatek Inc. High sensitivity color image generation using hybrid sensor
US20240371098A1 (en) * 2023-05-04 2024-11-07 Fabri Sciences Inc. Three-Dimensional Wound Reconstruction using Images and Depth Maps

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007233833A (ja) * 2006-03-02 2007-09-13 Nippon Hoso Kyokai <Nhk> 画像歪補正装置
JP2018207497A (ja) * 2018-07-19 2018-12-27 キヤノン株式会社 画像処理装置及び画像処理方法、撮像装置、プログラム、並びに記憶媒体
JP2020030681A (ja) * 2018-08-23 2020-02-27 ファナック株式会社 画像処理装置
JP2020042367A (ja) * 2018-09-06 2020-03-19 Ａｗｌ株式会社 学習システム、サーバ、及び特徴量画像描画補間プログラム

Also Published As

Publication number Publication date
US20220398693A1 (en) 2022-12-15
US12327329B2 (en) 2025-06-10
JP7639810B2 (ja) 2025-03-05
WO2021193779A1 (ja) 2021-09-30

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