CN118541988A - 高效图像传感器 - Google Patents

高效图像传感器 Download PDF

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Publication number
CN118541988A
CN118541988A CN202380016840.4A CN202380016840A CN118541988A CN 118541988 A CN118541988 A CN 118541988A CN 202380016840 A CN202380016840 A CN 202380016840A CN 118541988 A CN118541988 A CN 118541988A
Authority
CN
China
Prior art keywords
neuron
image sensor
pixel
neural network
detector
Prior art date
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.)
Pending
Application number
CN202380016840.4A
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English (en)
Chinese (zh)
Inventor
W·万德藤佩尔
C·穆拉德
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Voxel Sensor Co ltd
Original Assignee
Voxel Sensor Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Voxel Sensor Co ltd filed Critical Voxel Sensor Co ltd
Publication of CN118541988A publication Critical patent/CN118541988A/zh
Pending legal-status Critical Current

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Classifications

    • 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
    • H04N25/772—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising A/D, V/T, V/F, I/T or I/F converters
    • H04N25/773—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising A/D, V/T, V/F, I/T or I/F converters comprising photon counting circuits, e.g. single photon detection [SPD] or single photon avalanche diodes [SPAD]
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/067—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using optical means
    • G06N3/0675—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using optical means using electro-optical, acousto-optical or opto-electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
    • H04N25/671—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction
    • H04N25/673—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction by using reference sources
    • 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
    • H04N25/79—Arrangements of circuitry being divided between different or multiple substrates, chips or circuit boards, e.g. stacked image sensors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Neurology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Transforming Light Signals Into Electric Signals (AREA)
CN202380016840.4A 2022-01-27 2023-01-19 高效图像传感器 Pending CN118541988A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP22153557.8A EP4221188A1 (en) 2022-01-27 2022-01-27 Efficient image sensor
EP22153557.8 2022-01-27
PCT/EP2023/051204 WO2023143997A1 (en) 2022-01-27 2023-01-19 Efficient image sensor

Publications (1)

Publication Number Publication Date
CN118541988A true CN118541988A (zh) 2024-08-23

Family

ID=80121782

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202380016840.4A Pending CN118541988A (zh) 2022-01-27 2023-01-19 高效图像传感器

Country Status (6)

Country Link
US (1) US20250159379A1 (https=)
EP (2) EP4221188A1 (https=)
JP (1) JP2025502456A (https=)
KR (1) KR20240144227A (https=)
CN (1) CN118541988A (https=)
WO (1) WO2023143997A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102024110274A1 (de) * 2024-04-12 2025-10-16 OQmented GmbH Verfahren und Vorrichtung zur Bereinigung einer Messung einer Tiefeninformation

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030076992A1 (en) * 2001-06-26 2003-04-24 Banish Michele R. Neural network based element, image pre-processor, and method of pre-processing using a neural network
US7262402B2 (en) * 2005-02-14 2007-08-28 Ecole Polytechnique Federal De Lausanne Integrated imager circuit comprising a monolithic array of single photon avalanche diodes
US7512573B2 (en) * 2006-10-16 2009-03-31 Alcatel-Lucent Usa Inc. Optical processor for an artificial neural network
US9070039B2 (en) * 2013-02-01 2015-06-30 Brian Corporation Temporal winner takes all spiking neuron network sensory processing apparatus and methods
US11289175B1 (en) * 2012-11-30 2022-03-29 Hrl Laboratories, Llc Method of modeling functions of orientation and adaptation on visual cortex
US20180278868A1 (en) * 2017-03-21 2018-09-27 The Charles Stark Draper Laboratory, Inc. Neuromorphic Digital Focal Plane Array
US11037968B2 (en) * 2019-04-05 2021-06-15 Waymo Llc Image sensor architecture
US11493387B2 (en) * 2020-03-12 2022-11-08 Spectricity Correction and calibration of spectral sensor output
JP2023525950A (ja) * 2020-05-07 2023-06-20 メタ プラットフォームズ テクノロジーズ， リミテッド ライアビリティ カンパニー スマートセンサ

Also Published As

Publication number Publication date
JP2025502456A (ja) 2025-01-24
EP4338426A1 (en) 2024-03-20
EP4221188A1 (en) 2023-08-02
US20250159379A1 (en) 2025-05-15
KR20240144227A (ko) 2024-10-02
WO2023143997A1 (en) 2023-08-03

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