Fpga Implementation Of Image Compression Using Dpcm And Fbar

• doi: 10.1109/ISICIR.2007.4441865
• title: FPGA Implementation of Image Compression using DPCM and FBAR
• publisher: IEEE
• isbn: 978-1-4244-0797-2
• issn: 2325-0631
• partnum: 07EX1611
• rank: 2462
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a hybrid image compression algorithm based on a novel adaptive quantization algorithm referred to as Fast Boundary Adaptation Rule (FBAR) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique results in enhanced image quality as compared to FBAR-based compression. Our proposed system is still much simpler compared to other transform coding for image compression, such as JPEG that are widely adopted as the international standard. This made our system a viable candidate for developing on chip image sensor with data compression processor. The proposed compression algorithm was validated through FPGA implementation and was interfaced with a CMOS image sensor for real life applications. An 8:1 compression ratio with fairly good image quality were achieved with an average of 30 dB PSNR as compared to 25 dB for FBAR.
• article_number: 4441865
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4441865
• html_url: https://ieeexplore.ieee.org/document/4441865/
• abstract_url: https://ieeexplore.ieee.org/document/4441865/
• publication_title: 2007 International Symposium on Integrated Circuits
• conference_location: Singapore
• conference_dates: 26-28 Sept. 2007
• publication_number: 4441779
• is_number: 4441780
• publication_year: 2007
• publication_date: 26-28 Sept. 2007
• start_page: 329
• end_page: 332
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 469
• insert_date: 20080128
• index_terms:
  • ieee_terms:
    • Field programmable gate arrays
    • Image coding
    • Film bulk acoustic resonators
    • Pulse modulation
    • Image quality
    • Transform coding
    • Quantization
    • Pulse compression methods
    • Modulation coding
    • System-on-a-chip
  • dynamic_index_terms:
    • Image Compression
    • FPGA Implementation
    • Differential Pulse Code Modulation
    • Image Quality
    • Source Code
    • Data Compression
    • Adaptive Algorithm
    • Version Of Algorithm
    • Image Sensor
    • Camera Sensor
    • Differential Modulation
    • Modulation Of Differentiation
    • Compression Ratio
    • Fast Adaptation
    • Compression Algorithm
    • Enhance Image Quality
    • Quantum
    • Predictive Value
    • Prediction Error
    • Quantization Error
    • Amount Of Error
    • Residual Signal
    • Decoding Process
    • Mean Squared Prediction Error
    • Decision Level
    • Current Pixel
    • Distortion Measure
    • Version Of Signal
• isbn_formats:
  • format: CD, value: 978-1-4244-0797-2, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-0796-5, isbnType: New-2005
• authors:
  • Author Name: Yan Wang
    Affiliation: Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37281429500
    ID: 37281429500
    Order: 1
    Author Affiliations:
    • Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
  • Author Name: Shoushun Chen
    Affiliation: Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37535877300
    ID: 37535877300
    Order: 2
    Author Affiliations:
    • Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
  • Author Name: Amine Bermak
    Affiliation: Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
    Author URL: https://ieeexplore.ieee.org/author/37275353200
    ID: 37275353200
    Order: 3
    Author Affiliations:
    • Smart Sensory Integrated Systems Lab Electronic and Computer Engineering Department, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

Image Sensor

• sensor_type: CMOS
• resolution: 128x128
• 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

• signal_to_noise_ratio: average of 30dB PSNR

Applications & Benefits

• cell_imaging: enabled digital imaging in a variety of applications such as smartphones, medical devices, automotive systems.
• benefits: compression ratio of 8:1 with fairly good image quality.

Supporting Organizations

• supported_by: Research Grant Council of Hong Kong SAR, Project Ref. HKUST610405

Manuscript Details

• publication_date: 26-28 Sept. 2007

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_361cbb61-6de0-43d6-973d-3f8c1284b164-fpga_implementation_of_image_compression_using_dpcm_and_fbar.json