Dualband Imaging With An Integrated Cmos Image Sensorliquid Crystal Shutter Device

• doi: 10.1109/JSEN.2024.3520523
• title: Dual-Band Imaging With an Integrated CMOS Image Sensor—Liquid Crystal Shutter Device
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 2319
• access_type: LOCKED
• content_type: Journals
• abstract: Dual-band imaging in the visible and near infrared (NIR) bands is used for remote sensing, surveillance, automotive, and other fields. CMOS image sensors (CISs), which are widely used in many imaging applications, can be used for dual-band imaging in visible and NIR because silicon is sensitive to light in these bands. There are various approaches for implementation of dual-band imaging systems. This article presents a single-sensor dual-band imaging approach that is based on integration of a CIS and a liquid crystal (LC) shutter. The proposed method is compared to dual-band imaging with an RGB-IR CIS, a single-sensor single-frame dual-band imaging approach that is commonly used at present. The comparison covers aspects that are related to image acquisition and image processing as well as image quality metrics and image artifacts. Signal and noise metrics are explained using a theoretical model and are evaluated from actual images. The still images in this work were captured with a camera that included an RGB-IR image sensor and a camera that included an integrated CIS and a LC shutter device. Images were captured in a controlled laboratory environment and outdoors. The images were used for a qualitative evaluation of the effects of relative resolution, stray light artifacts, and noise on end-user image quality, in addition to a quantitative evaluation of signal and noise properties. Advantages with each approach are summarized to highlight the system value-add of the two single-sensor dual-band imaging methods for certain applications.
• article_number: 10816363
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10816363
• html_url: https://ieeexplore.ieee.org/document/10816363/
• abstract_url: https://ieeexplore.ieee.org/document/10816363/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 10887381
• publication_year: 2025
• publication_date: 15 Feb.15, 2025
• start_page: 6250
• end_page: 6260
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 177
• insert_date: 20241225
• index_terms:
  • ieee_terms:
    • Imaging
    • Optical filters
    • Dual band
    • Image sensors
    • Band-pass filters
    • Cameras
    • Image color analysis
    • Hyperspectral imaging
    • CMOS image sensors
    • Synchronization
  • author_terms:
    • CMOS image sensor (CIS)
    • dual-band imaging
    • hyperspectral imaging
    • image sensor
    • liquid crystal (LC) shutter
    • multispectral imaging
    • noise
    • RGB-IR
    • signal-to-noise ratio (SNR)
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Liquid Crystal Shutter
    • Dual-band Imaging
    • Imaging System
    • Image Quality
    • Near-infrared
    • Imaging Approach
    • Image Artifacts
    • Image Artefacts
    • Visible Bands
    • Visible And Near-infrared
    • VNIR
    • Still Images
    • Imaging Work
    • Noise Properties
    • Image Quality Metrics
    • Image Pixels
    • Polarizability
    • Color Images
    • Visual Signals
    • Signal Values
    • Mean Signal
    • Unpolarized Light
    • Near-infrared Imaging
    • Pixel In Frame
    • Portion Of Signal
    • Subtraction Operation
    • Polarizing Filter
    • Raw Frames
    • Polarization Rotation
    • Modulation Transfer Function
    • Optical Transfer Function
    • Signal-to-noise Ratio Values
• authors:
  • Author Name: Orit Skorka
    Affiliation: onsemi, San Jose, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37089390319
    ID: 37089390319
    Order: 1
    Author Affiliations:
    • onsemi, San Jose, CA, USA
  • Author Name: Marko Mlinar
    Affiliation: onsemi, Ljubljana, Slovenia
    Author URL: https://ieeexplore.ieee.org/author/560107933231429
    ID: 560107933231429
    Order: 2
    Author Affiliations:
    • onsemi, Ljubljana, Slovenia
  • Author Name: Radu Ispasoiu
    Affiliation: onsemi, San Jose, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37089401964
    ID: 37089401964
    Order: 3
    Author Affiliations:
    • onsemi, San Jose, CA, USA

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• 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: not specified
• benefits: not specified

Supporting Organizations

• supported_by: CITIZEN FINEDEVICE Company Ltd., onsemi

Manuscript Details

• publication_date: 15 Feb.15, 2025

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits

Processed JSON Filename

request_1a13e9ba-b4ef-42e4-9074-13ed148cd84d-dualband_imaging_with_an_integrated_cmos_image_sensorliquid_crystal_shutter_device.json