Suppression Of Noise Amplification During Colour Correction

• doi: 10.1109/TCE.2002.1010126
• title: Suppression of noise amplification during colour correction
• publisher: IEEE
• isbn:
• issn: 1558-4127
• rank: 3682
• access_type: LOCKED
• content_type: Journals
• abstract: This paper relates to correcting colours in digital photography. Three low pass filters are used to prevent noise amplification during colour correction. It is well known that a straightforward application of a low pass filter reduces the sharpness of an image. The filtering is applied in a non-conventional way which naturally compensates for the blur introduced by filtering. This compensation is achieved by combining data from all the colour channels, thus preserving the original sharpness of the image. This method is particularly useful, but not limited to, CMOS image sensor based digital cameras.
• article_number: 1010126
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1010126
• html_url: https://ieeexplore.ieee.org/document/1010126/
• abstract_url: https://ieeexplore.ieee.org/document/1010126/
• publication_title: IEEE Transactions on Consumer Electronics
• conference_location:
• conference_dates:
• publication_number: 30
• is_number: 21778
• publication_year: 2002
• publication_date: May 2002
• start_page: 229
• end_page: 233
• citing_paper_count: 7
• citing_patent_count: 3
• download_count: 222
• insert_date: 20020807
• index_terms:
  • ieee_terms:
    • Colored noise
    • Color
    • Low pass filters
    • Equations
    • Filtering
    • Digital cameras
    • Noise reduction
    • Australia
    • Digital photography
    • CMOS image sensors
  • dynamic_index_terms:
    • Noise Amplification
    • Color Correction
    • Correct Colour
    • Low-pass
    • Low-pass Filter
    • Image Sensor
    • Camera Sensor
    • Digital Photographs
    • Digital Photos
    • Color Channels
    • Image Sharpness
    • Interpolation
    • Denoising
    • Noise Reduction
    • Gaussian Noise
    • Projection Matrix
    • Matrix Operations
    • Projection Matrices
    • Gamma Correction
    • Conventional Matrix
    • Conventional Matrices
• authors:
  • Author Name: I. Kharitonenko
    Affiliation: Motorola Australian Research Center, Australia
    Author URL: https://ieeexplore.ieee.org/author/37284793400
    ID: 37284793400
    Order: 1
    Author Affiliations:
    • Motorola Australian Research Center, Australia
  • Author Name: S. Twelves
    Affiliation: Motorola Australian Research Center, Australia
    Author URL: https://ieeexplore.ieee.org/author/37332128700
    ID: 37332128700
    Order: 2
    Author Affiliations:
    • Motorola Australian Research Center, Australia
  • Author Name: C. Weerasinghe
    Affiliation: Motorola Australian Research Center, Australia
    Author URL: https://ieeexplore.ieee.org/author/37284790400
    ID: 37284790400
    Order: 3
    Author Affiliations:
    • Motorola Australian Research Center, Australia

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: Applicable for digital imaging in smartphones, medical devices, and automotive systems.
• benefits: Enables digital imaging with various characteristics affecting the quality of images.

Supporting Organizations

• supported_by: Motorola Australian Research Center

Manuscript Details

• publication_date: May 2002

Relevancy Score

• score: 9
• 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

Processed JSON Filename

request_44394980-db4d-4d6e-8f03-8ea88a3c6f08-suppression_of_noise_amplification_during_colour_correction.json