Nonuniformly Tiled Cmos Image Sensors For Efficient Onchip Image Compression

• doi: 10.1109/JSEN.2012.2199749
• title: Non-Uniformly Tiled CMOS Image Sensors for Efficient On-Chip Image Compression
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 3132
• access_type: LOCKED
• content_type: Journals
• abstract: We present a complementary metal-oxide semiconductor (CMOS) image sensor with non-uniform pixel placement that enables a highly efficient calculation of the discrete cosine transform (DCT), which is the most mathematically intensive step of an image compression algorithm. This technique is based on the arithmetic Fourier transform (AFT), which has been shown to be five times more computationally efficient than DCT derivation methods commonly used. In this paper, the focus is on the basic theory and algorithm as well as the sensitivity of the method to image sensor fixed pattern noise (FPN). The architecture and circuits have been implemented in a conventional CMOS process. The method has been demonstrated in the current prototype and results that enable an assessment of the sensitivity to FPN have been obtained.
• article_number: 6200827
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6200827
• html_url: https://ieeexplore.ieee.org/document/6200827/
• abstract_url: https://ieeexplore.ieee.org/document/6200827/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 6213177
• publication_year: 2012
• publication_date: Aug. 2012
• start_page: 2655
• end_page: 2663
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 690
• insert_date: 20120516
• index_terms:
  • ieee_terms:
    • Discrete cosine transforms
    • Noise
    • Indexes
    • Image sensors
    • Signal processing algorithms
    • Sensors
    • Fourier series
  • author_terms:
    • Arithmetic Fourier transform (AFT)
    • circuits and systems
    • image processing
    • image sensing
    • very large scale integration (VLSI)
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Image Compression
    • Complementary Metal–oxide–semiconductor Image
    • Complementary Metal Oxide Semiconductor Image
    • Computational Efficiency
    • Discrete Cosine Transform
    • Image Processing
    • Image Quality
    • Unit Area
    • Random Noise
    • Channel Noise
    • Raw Images
    • Source Images
    • Fourier Series
    • Fourier Decomposition
    • Fourier Modes
    • Fourier Expansion
    • Filter Function
    • Sinc Function
    • Pixel Location
    • Single Pixel
    • Local Reference
    • Output Filter
    • Increase In Noise
    • Pixel Array
    • Noisy Pixels
    • Original Block
    • Flat Field
    • Flat-field Correction
    • Pixel Data
    • Data For Each Pixel
    • Unit Interval
    • Pixel Block
    • Scaling Factor
• authors:
  • Author Name: Edwin J. Tan
    Affiliation: Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37087897287
    ID: 37087897287
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
  • Author Name: Zeljko Ignjatovic
    Affiliation: Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37270103900
    ID: 37270103900
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
  • Author Name: Mark F. Bocko
    Affiliation: Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37270106500
    ID: 37270106500
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
  • Author Name: Paul P. K. Lee
    Affiliation: ITT Exelis Geospatial Systems, Rochester, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37087249948
    ID: 37087249948
    Order: 4
    Author Affiliations:
    • ITT Exelis Geospatial Systems, Rochester, NY, USA

Image Sensor

• sensor_type: CMOS
• resolution: 121x121 pixels
• dynamic_range: Not specified
• pixel_size: 6.5 μm x 6.5 μm
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• noise: Fixed pattern noise (FPN) and other noise sources present.

Applications & Benefits

• cell_imaging: The paper discusses applications in on-chip image compression and signal processing for image sensors.
• benefits: Efficient on-chip image compression and low-power operation.

Supporting Organizations

• supported_by: NSF ECS 0428157

Manuscript Details

• publication_date: Aug. 2012

Relevancy Score

• score: 10

Processed JSON Filename

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