Efficient Vlsi Architecture For Edge Sensing Antialiasing Demosaicing

• doi: 10.1109/ICTA53157.2021.9661706
• title: Efficient VLSI Architecture for Edge Sensing Anti-Aliasing Demosaicing
• publisher: IEEE
• isbn: 978-1-6654-1748-8
• issn:
• rank: 2360
• access_type: LOCKED
• content_type: Conferences
• abstract: The majority of digital cameras reconstruct full-color images from raw data captured by image sensors through a process called demosaicing. In this paper, we propose an edge sensing anti-aliasing demosaicing (ESAAD) algorithm for the Bayer pattern, which is the most widely used color filter array (CFA) layout, and an efficient very-large-scale integration (VLSI) architecture for hardware implementation of the ESAAD. Traditional demosaicing methods recover the RGB channels of pixels on and not on edges in the same way while ESAAD detects edges from the RAW images and recovers pixels on and not on edges by different strategies. In this way, we can improve the visuality of recovered edges greatly compared with previous demosaicing methods. In addition, the simplicity of the ESAAD enables a hardware-friendly VLSI architecture which only requires 2 lines of line buffers. Under the same conditions of the process technology with 180nm CMOS, the image resolution with 1280×720 (HD), and the working frequency with 200MHz, the performance of this work significantly outperforms all the other methods on resources usage including both gate counts and core area, and power consumption.
• article_number: 9661706
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9661706
• html_url: https://ieeexplore.ieee.org/document/9661706/
• abstract_url: https://ieeexplore.ieee.org/document/9661706/
• publication_title: 2021 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)
• conference_location: Zhuhai, China
• conference_dates: 24-26 Nov. 2021
• publication_number: 9661584
• is_number: 9661598
• publication_year: 2021
• publication_date: 24-26 Nov. 2021
• start_page: 105
• end_page: 106
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 337
• insert_date: 20220103
• index_terms:
  • ieee_terms:
    • Visualization
    • Costs
    • Power demand
    • Image edge detection
    • Layout
    • Very large scale integration
    • Logic gates
  • author_terms:
    • Anti-Aliasing
    • color filter array
    • demosaicing
    • edge sensing
    • hardware architecture
    • very-large-scale integration (VLSI)
  • dynamic_index_terms:
    • Image Resolution
    • Raw Images
    • Image Sensor
    • Camera Sensor
    • Working Frequency
    • Structural Similarity
    • SSIM
    • Peak Signal-to-noise Ratio
    • Peak Signal To Noise Ratio
    • PSNR
    • Neighboring Pixels
    • Neighborhood Pixels
    • Neighbouring Pixels
    • Central Pixel
    • Mean Square Error Values
    • Pixel Color
    • Color Of Each Pixel
    • Colour Pixels
    • Peak Signal-to-noise Ratio Values
    • Maximum Minimum Value
    • Minimum-maximum Values
    • Edge Pixels
    • Raw Pixel
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-1748-8, isbnType: New-2005
  • format: USB ISBN, value: 978-1-6654-1746-4, isbnType: New-2005
  • format: Print ISBN, value: 978-1-6654-1745-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-1747-1, isbnType: New-2005
• authors:
  • Author Name: Yangyi Zhang
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37578374400
    ID: 37578374400
    Order: 1
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Zizhao Peng
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37088540906
    ID: 37088540906
    Order: 2
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Ruohen Yao
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37089228947
    ID: 37089228947
    Order: 3
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Huanshihong Deng
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37088661140
    ID: 37088661140
    Order: 4
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Wenyue Zhang
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37089268571
    ID: 37089268571
    Order: 5
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Lei Chen
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/37089184598
    ID: 37089184598
    Order: 6
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
  • Author Name: Fengwei An
    Affiliation: School of Microelectronics, Southern University of Science and Technology
    Author URL: https://ieeexplore.ieee.org/author/38235502500
    ID: 38235502500
    Order: 7
    Author Affiliations:
    • School of Microelectronics, Southern University of Science and Technology
    • Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education

Image Sensor

• sensor_type: CMOS
• resolution: 1280x720
• 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: This work achieves good performance in both quantitative evaluation and visual quality.

Supporting Organizations

• supported_by: Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education

Manuscript Details

• publication_date: 24-26 Nov. 2021

Relevancy Score

• score: 8
• 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_bcbc32a2-afc2-4cc9-822b-969a6e013cac-efficient_vlsi_architecture_for_edge_sensing_antialiasing_demosaicing.json