Improved Physicallike Virtual Color Filter For Color Separation Of Whitergb Cmos Sensor

• doi: 10.1109/TENCON.2014.7022435
• title: Improved physical-like virtual color filter for color separation of White-RGB CMOS sensor
• publisher: IEEE
• isbn: 978-1-4799-4076-9
• issn: 2159-3442
• rank: 2750
• access_type: LOCKED
• content_type: Conferences
• abstract: White-RGB (WRGB) color filter array (CFA)-based CMOS sensor is a new and popular technique to improve the image quality directly with a higher sensitivity White (W) filter. Considering there is no color information in the pixel assigned to W, color separation from W raw data is necessary. We propose a color separation method based on a novel physicallike virtual color filters model for the WRGB CFA-based imaging system. The proposed algorithm can reproduce full color signal from W. In the filtering stage, the proposed algorithm provides three channel filter modes to imitate the physical color filter based on the wavelength responses. To reduce the deviation of the spectrum, a supervised learning technique is utilized to obtain the parameters. The Datacolor SpyderCheckr-based experimental results demonstrate that the proposed algorithm provides high accuracy color without the color artifact caused by the error of virtual filter, and the average improvement compared with the Gaussian ideal filter model is almost 90%.
• article_number: 7022435
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7022435
• html_url: https://ieeexplore.ieee.org/document/7022435/
• abstract_url: https://ieeexplore.ieee.org/document/7022435/
• publication_title: TENCON 2014 - 2014 IEEE Region 10 Conference
• conference_location: Bangkok, Thailand
• conference_dates: 22-25 Oct. 2014
• publication_number: 7005044
• is_number: 7021863
• publication_year: 2014
• publication_date: 22-25 Oct. 2014
• start_page: 1
• end_page: 4
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 324
• insert_date: 20150129
• index_terms:
  • ieee_terms:
    • Image color analysis
    • Filtering algorithms
    • Colored noise
    • Information filters
    • Imaging
    • Image reconstruction
  • author_terms:
    • color seperation
    • WRGB CFA
    • virtual filter
    • camera sensor
  • dynamic_index_terms:
    • Color Filter
    • Color Separation
    • Imaging System
    • Supervised Learning
    • Supervised Classification
    • Supervised Machine Learning
    • Filtered Based
    • Filter-based
    • Color Information
    • Filter Model
    • Color Signals
    • Supervised Learning Techniques
    • Ideal Filter
    • Wavelength Response
    • White Filter
    • Root Mean Square Error
    • Root-mean-square Deviation
    • RMSD
    • RMSE
    • Mean Square Error
    • Mean Square Deviation
    • Color Space
    • Color Components
    • Image Sensor
    • Camera Sensor
    • Image Formation
    • RGB Color
    • Filter Response
    • Color Coordinates
    • Visible Light Range
    • Color Block
    • Blocks Of Colour
• isbn_formats:
  • format: Print ISBN, value: 978-1-4799-4076-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-4075-2, isbnType: New-2005
• authors:
  • Author Name: Chang-shuai Wang
    Affiliation: Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/38025449700
    ID: 38025449700
    Order: 1
    Author Affiliations:
    • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
  • Author Name: Sang-woo Ahn
    Affiliation: Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37711774700
    ID: 37711774700
    Order: 2
    Author Affiliations:
    • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
  • Author Name: Jong-joo Park
    Affiliation: Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/38240891800
    ID: 38240891800
    Order: 3
    Author Affiliations:
    • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
  • Author Name: Hwa-soo Woo
    Affiliation: Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37085529167
    ID: 37085529167
    Order: 4
    Author Affiliations:
    • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
  • Author Name: Jong-wha Chong
    Affiliation: Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37265185000
    ID: 37265185000
    Order: 5
    Author Affiliations:
    • Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea

Image Sensor

• sensor_type: CMOS
• resolution: 2608 by 1960
• 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: related to smartphone and medical imaging applications
• benefits: improves image quality, especially in low-light environments, and offers a higher sensitivity with the use of WRGB CFA

Supporting Organizations

• supported_by: Ministry of Science, ICT and Future Planning, Korea; National IT Industry Promotion Agency

Manuscript Details

• publication_date: 22-25 Oct. 2014

Relevancy Score

• score: 9
• missing_fields:
  • 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_445e7908-4617-4c64-be94-677d3e9cef27-improved_physicallike_virtual_color_filter_for_color_separation_of_whitergb_cmos_sensor.json