A Cmos Image Sensor With Focal Plane Discrete Cosine Transform Computation

• doi: 10.1109/ISCAS.2007.377942
• title: A CMOS Image Sensor with Focal Plane Discrete Cosine Transform Computation
• publisher: IEEE
• isbn: 1-4244-0921-7
• issn: 2158-1525
• partnum: 07CH37868
• rank: 555
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper we describe an image sensor with nonuniform pixel placement that enables a highly efficient computation of the Discrete Cosine Transform, which is the most computationaly demanding step of the image compression algorithm. This technique is based on the Arithmetic Fourier Transform (AFT), which we show to be 5 times more computationaly efficient than currently used DCT computation methods. The architecture and circuits described can be implemented in conventional CMOS processes.
• article_number: 4253158
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4253158
• html_url: https://ieeexplore.ieee.org/document/4253158/
• abstract_url: https://ieeexplore.ieee.org/document/4253158/
• publication_title: 2007 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: New Orleans, LA, USA
• conference_dates: 27-30 May 2007
• publication_number: 4252534
• is_number: 4252535
• publication_year: 2007
• publication_date: 27-30 May 2007
• start_page: 2395
• end_page: 2398
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 88
• insert_date: 20070625
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Discrete cosine transforms
    • Image sensors
    • Pixel
    • Image coding
    • Arithmetic
    • Fourier transforms
    • Computer architecture
    • Circuits
    • CMOS process
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Discrete Cosine Transform
    • Image Compression
    • Compression Algorithm
    • Increase In The Number
    • Scaling Factor
    • Power Consumption
    • Unit Area
    • Input Signal
    • Fourier Series
    • Fourier Decomposition
    • Fourier Modes
    • Fourier Expansion
    • Discrete Fourier Transform
    • Filter Function
    • Sinc Function
    • Local Reference
    • Output Filter
    • High Frequency Components
    • Unit Interval
    • Original Block
    • Nyquist Criterion
    • Nyquist Criteria
• isbn_formats:
  • format: CD, value: 1-4244-0921-7, isbnType: Historical
  • format: Print ISBN, value: 1-4244-0920-9, isbnType: Historical
• 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

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• 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: Utilized in imaging applications where compression is needed and power consumption must be limited.
• benefits: Integration of compression within the sensor itself, reducing power consumption and circuit complexity.

Supporting Organizations

• supported_by: NSF ECS #0428157

Manuscript Details

• publication_date: 27-30 May 2007

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • 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_d1674ec5-c81a-4fe0-94b4-59e27685612c-a_cmos_image_sensor_with_focal_plane_discrete_cosine_transform_computation.json