CN113330480A - 模块化图像修复方法 - Google Patents

模块化图像修复方法 Download PDF

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Publication number
CN113330480A
CN113330480A CN202080009784.8A CN202080009784A CN113330480A CN 113330480 A CN113330480 A CN 113330480A CN 202080009784 A CN202080009784 A CN 202080009784A CN 113330480 A CN113330480 A CN 113330480A
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CN
China
Prior art keywords
image
rendered
corrected
incomplete
data
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Pending
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CN202080009784.8A
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English (en)
Chinese (zh)
Inventor
E·格伦威德尔
C·格罗格尔
A·帕纳克斯
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Continental Zhixing Germany Co ltd
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Conti Temic Microelectronic GmbH
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Publication of CN113330480A publication Critical patent/CN113330480A/zh
Pending legal-status Critical Current

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    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
    • B60R1/20—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
    • B60R1/22—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle
    • B60R1/28—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with an adjustable field of view
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/586—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • 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]
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G06T2207/30264—Parking

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Mechanical Engineering (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
CN202080009784.8A 2019-02-11 2020-01-30 模块化图像修复方法 Pending CN113330480A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102019201702.9A DE102019201702A1 (de) 2019-02-11 2019-02-11 Modulares inpainting Verfahren
DE102019201702.9 2019-02-11
PCT/DE2020/200008 WO2020164671A1 (de) 2019-02-11 2020-01-30 Modulares inpainting verfahren

Publications (1)

Publication Number Publication Date
CN113330480A true CN113330480A (zh) 2021-08-31

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Family Applications (1)

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CN202080009784.8A Pending CN113330480A (zh) 2019-02-11 2020-01-30 模块化图像修复方法

Country Status (6)

Country Link
US (1) US11961215B2 (enExample)
EP (1) EP3924932A1 (enExample)
JP (2) JP2022517849A (enExample)
CN (1) CN113330480A (enExample)
DE (1) DE102019201702A1 (enExample)
WO (1) WO2020164671A1 (enExample)

Cited By (2)

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CN115272639A (zh) * 2022-09-19 2022-11-01 武汉天际航信息科技股份有限公司 修复图像中车辆区域的方法、装置和计算机程序产品
CN118351288A (zh) * 2024-04-16 2024-07-16 北京积加科技有限公司 图像区域标记修正方法、装置、设备和计算机可读介质

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US12165406B2 (en) * 2021-12-20 2024-12-10 Here Global B.V. Method, apparatus, and computer program product for identifying and correcting intersection lane geometry in map data
US12013255B2 (en) 2021-12-20 2024-06-18 Here Global B.V. Method, apparatus, and computer program product for correcting lane geometry in map data

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JP2005301517A (ja) * 2004-04-08 2005-10-27 Toyota Motor Corp 画像処理装置および画像処理方法
JP2006332785A (ja) * 2005-05-23 2006-12-07 Univ Of Tokyo 画像補完装置及び画像補完方法並びにプログラム
US20130156297A1 (en) * 2011-12-15 2013-06-20 Microsoft Corporation Learning Image Processing Tasks from Scene Reconstructions
CN103310415A (zh) * 2013-03-15 2013-09-18 清华大学 基于人脸的图像缺损补绘方法及系统
CN104185009A (zh) * 2013-05-23 2014-12-03 通用汽车环球科技运作有限责任公司 前方路缘观察系统中的增强的俯瞰视图生成
CN104537663A (zh) * 2014-12-26 2015-04-22 广东中科遥感技术有限公司 一种图像抖动的快速校正方法
CN107111782A (zh) * 2014-11-26 2017-08-29 卡里尔斯公司 神经网络结构及其方法
WO2018072793A1 (de) * 2016-10-20 2018-04-26 Conti Temic Microelectronic Gmbh Verfahren und vorrichtung zur erzeugung einer fahrzeugumgebungsansicht bei einem fahrzeug
US20180165798A1 (en) * 2016-12-14 2018-06-14 Adobe Systems Incorporated Image hole filling that accounts for global structure and local texture
CN108171663A (zh) * 2017-12-22 2018-06-15 哈尔滨工业大学 基于特征图最近邻替换的卷积神经网络的图像填充系统
CN108460734A (zh) * 2017-02-03 2018-08-28 哈曼国际工业有限公司 车辆驾驶员辅助模块进行图像呈现的系统和方法
CN109242791A (zh) * 2018-08-22 2019-01-18 东北农业大学 一种针对破损植物叶片的批量修复方法

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JP2018107573A (ja) * 2016-12-26 2018-07-05 株式会社東海理化電機製作所 車両用視認装置
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Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005301517A (ja) * 2004-04-08 2005-10-27 Toyota Motor Corp 画像処理装置および画像処理方法
JP2006332785A (ja) * 2005-05-23 2006-12-07 Univ Of Tokyo 画像補完装置及び画像補完方法並びにプログラム
US20130156297A1 (en) * 2011-12-15 2013-06-20 Microsoft Corporation Learning Image Processing Tasks from Scene Reconstructions
CN103310415A (zh) * 2013-03-15 2013-09-18 清华大学 基于人脸的图像缺损补绘方法及系统
CN104185009A (zh) * 2013-05-23 2014-12-03 通用汽车环球科技运作有限责任公司 前方路缘观察系统中的增强的俯瞰视图生成
CN107111782A (zh) * 2014-11-26 2017-08-29 卡里尔斯公司 神经网络结构及其方法
CN104537663A (zh) * 2014-12-26 2015-04-22 广东中科遥感技术有限公司 一种图像抖动的快速校正方法
WO2018072793A1 (de) * 2016-10-20 2018-04-26 Conti Temic Microelectronic Gmbh Verfahren und vorrichtung zur erzeugung einer fahrzeugumgebungsansicht bei einem fahrzeug
US20180165798A1 (en) * 2016-12-14 2018-06-14 Adobe Systems Incorporated Image hole filling that accounts for global structure and local texture
CN108460734A (zh) * 2017-02-03 2018-08-28 哈曼国际工业有限公司 车辆驾驶员辅助模块进行图像呈现的系统和方法
CN108171663A (zh) * 2017-12-22 2018-06-15 哈尔滨工业大学 基于特征图最近邻替换的卷积神经网络的图像填充系统
CN109242791A (zh) * 2018-08-22 2019-01-18 东北农业大学 一种针对破损植物叶片的批量修复方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115272639A (zh) * 2022-09-19 2022-11-01 武汉天际航信息科技股份有限公司 修复图像中车辆区域的方法、装置和计算机程序产品
CN115272639B (zh) * 2022-09-19 2022-12-23 武汉天际航信息科技股份有限公司 修复图像中车辆区域的方法、装置和计算机程序产品
CN118351288A (zh) * 2024-04-16 2024-07-16 北京积加科技有限公司 图像区域标记修正方法、装置、设备和计算机可读介质

Also Published As

Publication number Publication date
JP2024041895A (ja) 2024-03-27
JP2022517849A (ja) 2022-03-10
US20220156894A1 (en) 2022-05-19
DE102019201702A1 (de) 2020-08-13
US11961215B2 (en) 2024-04-16
WO2020164671A1 (de) 2020-08-20
EP3924932A1 (de) 2021-12-22

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