Modelling Calibration And Rendition Of Colour Logarithmic Cmos Image Sensors

• doi: 10.1109/IMTC.2002.1006814
• title: Modelling, calibration and rendition of colour logarithmic CMOS image sensors
• publisher: IEEE
• isbn: 0-7803-7218-2
• issn: 1091-5281
• partnum: 00CH37276
• rank: 3033
• access_type: LOCKED
• content_type: Conferences
• abstract: Logarithmic CMOS image sensors encode a high dynamic range scene in a manner that roughly approximates human perception whereas linear sensors with equivalent quantisation 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 colour logarithmic sensor into a standard colour space. The work unifies colour 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. Colour 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 modelling and calibration and degrade rendition in dim lighting.
• article_number: 1006814
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1006814
• html_url: https://ieeexplore.ieee.org/document/1006814/
• abstract_url: https://ieeexplore.ieee.org/document/1006814/
• publication_title: IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)
• conference_location: Anchorage, AK, USA
• conference_dates: 21-23 May 2002
• publication_number: 7883
• is_number: 21717
• publication_year: 2002
• publication_date: 21-23 May 2002
• start_page: 49
• end_page: 54 vol.1
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 111
• insert_date: 20020807
• 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
    • Logarithm
    • Log Transformed
    • Logarithmic Transformation
    • Degrees Of Freedom
    • Random Noise
    • Channel Noise
    • Residual Error
    • Conjugate Gradient
    • Gain Variation
    • Standard Deviation Error
    • Perceptual Errors
    • Photocurrent
    • Color Filter
    • Color Chart
    • CIE Lab
    • Display Devices
    • Color Model
    • Color System
    • Sensor Model
• isbn_formats:
  • format: Print ISBN, value: 0-7803-7218-2, isbnType: Historical
• authors:
  • Author Name: D. Joseph
    Affiliation: Engineering Science, University of Oxford, UK
    Author URL: https://ieeexplore.ieee.org/author/37274570400
    ID: 37274570400
    Order: 1
    Author Affiliations:
    • Engineering Science, University of Oxford, UK
  • Author Name: S. Collins
    Affiliation: Engineering Science, University of Oxford, UK
    Author URL: https://ieeexplore.ieee.org/author/37274573100
    ID: 37274573100
    Order: 2
    Author Affiliations:
    • Engineering Science, University of Oxford, UK

Image Sensor

• sensor_type: CMOS
• resolution: 512 x 512 pixels
• dynamic_range: 3.5 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) complaints vary due to pixel variations.

Applications & Benefits

• cell_imaging: Applicable in medical devices for imaging
• benefits: High dynamic range, high frame rates, suitable for motion detection and traffic supervision.

Supporting Organizations

• supported_by: University of Oxford

Manuscript Details

• publication_date: 21-23 May 2002

Relevancy Score

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

Processed JSON Filename

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