JP6672070B2 - 圧縮センシングを用いた撮像装置、撮像方法および撮像プログラム - Google Patents

圧縮センシングを用いた撮像装置、撮像方法および撮像プログラム Download PDF

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JP6672070B2
JP6672070B2 JP2016098709A JP2016098709A JP6672070B2 JP 6672070 B2 JP6672070 B2 JP 6672070B2 JP 2016098709 A JP2016098709 A JP 2016098709A JP 2016098709 A JP2016098709 A JP 2016098709A JP 6672070 B2 JP6672070 B2 JP 6672070B2
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imaging
coefficient
distribution
pixel group
light intensity
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JP2017208641A5 (enExample
JP2017208641A (ja
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法人 日浅
法人 日浅
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Canon Inc
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Canon Inc
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Priority to JP2016098709A priority Critical patent/JP6672070B2/ja
Priority to US15/594,943 priority patent/US10154216B2/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70—SSIS architectures; Circuits associated therewith
    • H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
    • H04N25/77—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components
    • H04N25/771—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising storage means other than floating diffusion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/0007—Image acquisition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50—Constructional details
    • H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/743—Bracketing, i.e. taking a series of images with varying exposure conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/75—Circuitry for compensating brightness variation in the scene by influencing optical camera components
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70—SSIS architectures; Circuits associated therewith
    • H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
    • H04N25/78—Readout circuits for addressed sensors, e.g. output amplifiers or A/D converters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/95—Computational photography systems, e.g. light-field imaging systems
    • H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Studio Devices (AREA)
JP2016098709A 2016-05-17 2016-05-17 圧縮センシングを用いた撮像装置、撮像方法および撮像プログラム Active JP6672070B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2016098709A JP6672070B2 (ja) 2016-05-17 2016-05-17 圧縮センシングを用いた撮像装置、撮像方法および撮像プログラム
US15/594,943 US10154216B2 (en) 2016-05-17 2017-05-15 Image capturing apparatus, image capturing method, and storage medium using compressive sensing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2016098709A JP6672070B2 (ja) 2016-05-17 2016-05-17 圧縮センシングを用いた撮像装置、撮像方法および撮像プログラム

Publications (3)

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JP2017208641A JP2017208641A (ja) 2017-11-24
JP2017208641A5 JP2017208641A5 (enExample) 2019-06-13
JP6672070B2 true JP6672070B2 (ja) 2020-03-25

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US (1) US10154216B2 (enExample)
JP (1) JP6672070B2 (enExample)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022230640A1 (ja) 2021-04-28 2022-11-03 パナソニックＩｐマネジメント株式会社 画像処理装置、撮像システム、および復元画像の誤差を推定する方法

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017132166A1 (en) * 2016-01-28 2017-08-03 Siemens Healthcare Diagnostics Inc. Methods and apparatus adapted to quantify a specimen from multiple lateral views
US10282630B2 (en) * 2017-03-08 2019-05-07 Raytheon Company Multi-channel compressive sensing-based object recognition
US11223785B2 (en) * 2017-10-19 2022-01-11 Gwangju Institute Of Science And Technology Compressive sensing image sensor for enhancing frame rate and operating method thereof
JP7105062B2 (ja) 2017-12-21 2022-07-22 株式会社ソニー・インタラクティブエンタテインメント 画像処理装置、コンテンツ処理装置、コンテンツ処理システム、および画像処理方法
US10694112B2 (en) * 2018-01-03 2020-06-23 Getac Technology Corporation Vehicular image pickup device and image capturing method
US11014001B2 (en) * 2018-03-05 2021-05-25 Sony Interactive Entertainment LLC Building virtual reality (VR) gaming environments using real-world virtual reality maps
CN111788824B (zh) * 2018-03-06 2022-07-08 索尼公司 图像处理设备、成像设备以及图像处理方法
US10536622B2 (en) * 2018-05-15 2020-01-14 Sony Corporation Camera depth prediction using generative adversarial network
CN108845332B (zh) * 2018-07-04 2020-11-20 歌尔光学科技有限公司 基于tof模组的深度信息测量方法及装置
WO2021253308A1 (zh) * 2020-06-18 2021-12-23 深圳市汇顶科技股份有限公司 图像采集装置
JPWO2024043009A1 (enExample) 2022-08-25 2024-02-29
WO2024241439A1 (ja) * 2023-05-22 2024-11-28 株式会社Fuji 画像表示システムおよび画像表示方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8948539B2 (en) * 2011-09-28 2015-02-03 The United States Of America As Represented By The Secretary Of The Army System and method for image improvement and enhancement
CN103209307B (zh) 2013-04-18 2016-05-25 清华大学 编码重聚焦计算摄像方法及装置
JP2015216619A (ja) * 2014-04-25 2015-12-03 パナソニックＩｐマネジメント株式会社 撮像システム、撮像装置、撮像方法および符号化方法
JP6611509B2 (ja) * 2015-08-05 2019-11-27 キヤノン株式会社 画像処理装置、撮像装置および画像処理プログラム

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022230640A1 (ja) 2021-04-28 2022-11-03 パナソニックＩｐマネジメント株式会社 画像処理装置、撮像システム、および復元画像の誤差を推定する方法

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US20170339363A1 (en) 2017-11-23
JP2017208641A (ja) 2017-11-24

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