Hardware Efficient Edgedetection Based Color Filter Array Interpolation For Industrial Cameras

• doi: 10.1109/IEACon57683.2023.10370710
• title: Hardware Efficient Edge-Detection Based Color Filter Array Interpolation for Industrial Cameras
• publisher: IEEE
• isbn: 979-8-3503-4752-4
• issn:
• rank: 2561
• access_type: LOCKED
• content_type: Conferences
• abstract: In manufacturing and industrial inspection, digital cameras are widely used for production monitoring, warehouse management, and detecting packing defects. Digital cameras require three separate image sensors to capture full-color images. However, due to the high cost of image sensors, many digital camera manufacturers are using a single image sensor with a color filter array (CFA), thereby reducing the overall cost of the camera system. In this paper, a computationally efficient algorithm for color filter array (CFA) interpolation is specifically designed to optimize hardware resource utilization. The algorithm focuses on utilizing simple additions, subtractions, comparisons and shift operations. Furthermore, an efficient hardware architecture for the proposed algorithm is designed and modeled using Verilog HDL. It is then synthesized using the Cadence Genus compiler with 90nm Generic Process Design Kit (GPDK 90nm) CMOS technology. The results of simulations and synthesis reveal that the proposed method is computationally efficient and requires less hardware resources as compared with the existing work making it suitable for the applications mentioned above.
• article_number: 10370710
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10370710
• html_url: https://ieeexplore.ieee.org/document/10370710/
• abstract_url: https://ieeexplore.ieee.org/document/10370710/
• publication_title: 2023 IEEE Industrial Electronics and Applications Conference (IEACon)
• conference_location: Penang, Malaysia
• conference_dates: 6-7 Nov. 2023
• publication_number: 10370001
• is_number: 10370054
• publication_year: 2023
• publication_date: 6-7 Nov. 2023
• start_page: 86
• end_page: 91
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 89
• insert_date: 20231229
• index_terms:
  • ieee_terms:
    • Image sensors
    • Semiconductor device modeling
    • Process design
    • Image color analysis
    • Computational modeling
    • Computer architecture
    • Filtering algorithms
  • author_terms:
    • Color filter array interpolation
    • very-large-scale integration (VLSI)
    • Cadence 90nm Generic Process Design Kit (GPDK 90nm)
    • hardware-efficient
  • dynamic_index_terms:
    • Edge Detection
    • Color Filter Array
    • Digital Camera
    • Computational Efficiency
    • Image Sensor
    • Camera Sensor
    • Shift Operator
    • Functional Shifts
    • Hardware Architecture
    • Cost Of Sensors
    • Warehouse Management
    • Separate Sensors
    • Industrial Inspection
    • Image Quality
    • Horizontal Plane
    • Horizontal Direction
    • Horizontal Distance
    • Vertical Direction
    • Color Intensity
    • Color Difference
    • Directed Graph
    • Directed Edge
    • Red Channel
    • Color Channels
    • Addition Of Ions
    • Color Gradient
    • Structural Similarity Index Measure
    • Edge Strength
    • Gradient Calculation
    • Gradient Computation
    • Pipelining
    • Cured-in-place Pipe
    • Pipe Line
    • Blue Channel
    • Output Pixel
    • Results Of The Proposed Method
    • Bilinear Interpolation
    • Pixel Location
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-4752-4, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-4751-7, isbnType: New-2005
• authors:
  • Author Name: Pranshul Goel
    Affiliation: Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India
    Author URL: https://ieeexplore.ieee.org/author/138587690410690
    ID: 138587690410690
    Order: 1
    Author Affiliations:
    • Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India
  • Author Name: Midde Venkata Siva
    Affiliation: Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India
    Author URL: https://ieeexplore.ieee.org/author/37088377476
    ID: 37088377476
    Order: 2
    Author Affiliations:
    • Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India
  • Author Name: E P Jayakumar
    Affiliation: Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India
    Author URL: https://ieeexplore.ieee.org/author/37089222561
    ID: 37089222561
    Order: 3
    Author Affiliations:
    • Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India

Image Sensor

• sensor_type: CMOS
• resolution: 512x768
• 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

• power_consumption: 32.77 mW

Applications & Benefits

• cell_imaging: Used in industrial applications for monitoring and inspection, as well as parking systems for vehicle detection.
• benefits: Cost-effective solution for capturing full-color images with reduced hardware.

Supporting Organizations

• supported_by: National Institute of Technology Calicut, Kerala, India

Manuscript Details

• publication_date: 6-7 Nov. 2023

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
  • noise

Processed JSON Filename

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