A Cmosbased Image Sensor Pixel Structure And Application Design

• doi: 10.1049/icp.2024.4461
• title: A CMOS-based image sensor pixel structure and application design
• publisher: IET
• isbn: 978-1-83724-267-2
• issn:
• rank: 653
• access_type: LOCKED
• content_type: Conferences
• abstract: A CMOS image sensor (Complementary Metal-Oxide-Semiconductor) is an image sensor made using CMOS technology, which converts light signals into electrical signals to capture images. CMOS sensors integrate amplifiers and converters at each pixel, offering advantages like low power consumption and high-speed processing. They are widely used in digital cameras, smartphones, security surveillance, automotive driver assistance systems, and medical imaging. This paper begins by reviewing international research on improving CMOS image sensor quality. Building on this foundation, it proposes a CMOS photodiode model, represented as a current source and capacitor, which generates a voltage proportional to light intensity. Resetting the photodiode is essential for accurate readings. A source follower minimizes noise and stabilizes output vol image sensor design based on CoolSpice simulation. This experiment focuses on designing an image sensor with a 3x3 pixel array, consisting of photodiodes and NMOS transistors. The sensor utilizes a row-column selection circuit driven by pulsed signals for precise pixel activation. Simulation in CoolSpice shows varying output voltages for each pixel, indicating differing light intensities, with strategies suggested to reduce leakage effects. Results are visualized in an Excel spreadsheet, correlating voltage levels with light intensity. The image sensor designed in this project can read results within 60 microseconds, with a dynamic range from 0 to 652 millivolts.
• article_number: 10853653
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10853653
• html_url: https://ieeexplore.ieee.org/document/10853653/
• abstract_url: https://ieeexplore.ieee.org/document/10853653/
• publication_title: 2nd International Conference on Mechatronic Automation and Electrical Engineering (ICMAEE 2024)
• conference_location: Hybrid Conference, Nanjing, China
• conference_dates: 22-24 Nov. 2024
• publication_number: 10853224
• is_number: 10853225
• publication_year: 2024
• publication_date: 22-24 Nov. 2024
• start_page: 93
• end_page: 97
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 13
• insert_date: 20250127
• index_terms:
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Light Intensity
    • Dynamic Range
    • Photodiode
    • Current Source
    • Current Regulations
    • Excel Spreadsheet
    • Low Power Consumption
    • Pulse Signal
    • Pixel Array
    • Advanced Driver Assistance Systems
    • Driver Assistance Systems
    • Complementary Metal Oxide Semiconductor Technology
    • Image Quality
    • High Light
    • High Light Intensity
    • Low Light
    • Negative Potential
    • Linear Response
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Polynomial Regression
    • Polynomial Fitting
    • High Dynamic Range Image
    • High Dynamic Range
    • Conversion Gain
    • Noise Patterns
    • Reset Voltage
    • Readout Circuit
    • Linear Correction
    • Cone Photoreceptors
    • Cone Cells
    • Noise Suppression
    • Noise-canceling
    • Active Noise Control
    • Sensor Noise
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-83724-267-2, isbnType: New-2005
• authors:
  • Author Name: Tianhe Gao
    Affiliation: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, 460000, People's Republic of China
    Author URL: https://ieeexplore.ieee.org/author/747519090598576
    ID: 747519090598576
    Order: 1
    Author Affiliations:
    • School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, 460000, People's Republic of China

Image Sensor

• sensor_type: CMOS
• resolution: 3x3 pixel array
• dynamic_range: 0 to 652 millivolts
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: The image sensor can be used in a variety of applications including smartphones, medical imaging, and automotive systems.
• benefits: CMOS image sensors are characterized by low power consumption, high integration, and fast readout speeds.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 22-24 Nov. 2024

Relevancy Score

• score: 9
• missing_fields:
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_0aeffc87-4166-4833-9677-567eccdb21ce-a_cmosbased_image_sensor_pixel_structure_and_application_design.json