Modeling Calibration And Rendition Of Color Logarithmic Cmos Image Sensors

• doi: 10.1109/TIM.2003.818551
• title: Modeling, calibration, and rendition of color logarithmic CMOS image sensors
• publisher: IEEE
• isbn:
• issn: 1557-9662
• rank: 3030
• access_type: LOCKED
• content_type: Journals
• abstract: Logarithmic CMOS image sensors encode a high dynamic range scene in a manner that roughly approximates human perception whereas linear sensors with equivalent quantization suffer from saturation or loss of detail. Moreover, the continuous response of logarithmic pixels permit high frame rates and random access, features that are useful in motion detection. This paper describes how to model, calibrate, and render pixel responses from a color logarithmic sensor into a standard color space. The work unifies color theory in conventional linear sensors and fixed pattern noise theory in monochromatic logarithmic sensors. Experiments with a Fuga 15RGB sensor demonstrate calibration and rendition using a Macbeth chart and neutral density filters. Color rendition of the sensor with an empirical model, tested over three decades of dynamic range, competes with conventional digital cameras, tested over 1.5 decades. Photodiode leakage currents complicate modeling and calibration and degrade rendition in dim lighting.
• article_number: 1240175
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1240175
• html_url: https://ieeexplore.ieee.org/document/1240175/
• abstract_url: https://ieeexplore.ieee.org/document/1240175/
• publication_title: IEEE Transactions on Instrumentation and Measurement
• conference_location:
• conference_dates:
• publication_number: 19
• is_number: 27804
• publication_year: 2003
• publication_date: Oct. 2003
• start_page: 1581
• end_page: 1587
• citing_paper_count: 3
• citing_patent_count: 1
• download_count: 235
• insert_date: 20031027
• index_terms:
  • ieee_terms:
    • Semiconductor device modeling
    • Calibration
    • CMOS image sensors
    • Colored noise
    • Dynamic range
    • Testing
    • Layout
    • Humans
    • Quantization
    • Motion detection
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Dynamic Range
    • Empirical Model
    • Photodiode
    • Color Space
    • Color Components
    • Motion Detection
    • Motion Sensors
    • Standard Space
    • Dim Light
    • High Dynamic Range
    • Neutral Density Filter
    • Loss Of Details
    • Conventional Sensors
    • Conventional Camera
    • Linear Sensor
    • Theoretical Framework
    • Theoretical Model
    • Degrees Of Freedom
    • Parameter Estimates
    • CCD Camera
    • Charge-coupled Device
    • Logarithmic Scale
    • Log-scale
    • Standard Deviation Error
    • Color Matching
    • Photocurrent
    • Perceptual Errors
    • Gain Variation
    • Residual Error
    • Color Filter
    • Color Chart
    • Color Patches
    • Display Devices
• authors:
  • Author Name: D. Joseph
    Affiliation: Department of Engineering Science, University of Oxford, Oxford, UK
    Author URL: https://ieeexplore.ieee.org/author/37274570400
    ID: 37274570400
    Order: 1
    Author Affiliations:
    • Department of Engineering Science, University of Oxford, Oxford, UK
  • Author Name: S. Collins
    Affiliation: Department of Engineering Science, University of Oxford, Oxford, UK
    Author URL: https://ieeexplore.ieee.org/author/37274573100
    ID: 37274573100
    Order: 2
    Author Affiliations:
    • Department of Engineering Science, University of Oxford, Oxford, UK

Image Sensor

• sensor_type: CMOS
• resolution: 512x512
• dynamic_range: over five decades
• 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

• frame_rate: 100 kHz
• noise: Fixed Pattern Noise (FPN) is a known issue.

Applications & Benefits

• cell_imaging: The CMOS image sensor has applications in automotive systems, traffic supervision, and road safety.
• benefits: High dynamic range, capable of capturing scenes with multiple decades of illumination, high frame rate, and random accessibility of pixels.

Supporting Organizations

• supported_by: Natural Sciences and Engineering Research Council (Canada), Engineering and Physical Sciences Research Council (U.K.)

Manuscript Details

• publication_date: Oct. 2003

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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