Reducing Electrical Power Dissipation In Computational Imaging Systems Through Specialpurpose Optics

• doi: 10.1109/ISCAS.2017.8050292
• title: Reducing electrical power dissipation in computational imaging systems through special-purpose optics
• publisher: IEEE
• isbn: 978-1-5090-1427-9
• issn: 2379-447X
• rank: 3428
• access_type: LOCKED
• content_type: Conferences
• abstract: In computational sensing and imaging, optics can perform some of the processing tasks traditionally performed by digital signal processing and, conversely, digital signal processing can perform some of the processing tasks traditionally performed by optics. This approach thus provides a new framework for reducing electrical power dissipated by sensors: for a criterion end-to-end functional performance, design the optics such that the digital computation cost is as low as possible. There are two such strategies to designing optics to reduce electrical power dissipation: creating optics that produce an optical signal that either 1) requires less digital processing for the criterion functional performance or 2) requires fewer pixels and hence less read, A/D conversion, and signal transfer power. A special-purpose diffractive optical element integrated with a CMOS image sensor photodetector array with simple on-chip processing reveal power reduction in one operational mode roughly two orders of magnitude compared to that in a functionally equivalent traditional lens-based sensors.
• article_number: 8050292
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050292
• html_url: https://ieeexplore.ieee.org/document/8050292/
• abstract_url: https://ieeexplore.ieee.org/document/8050292/
• publication_title: 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Baltimore, MD, USA
• conference_dates: 28-31 May 2017
• publication_number: 8014728
• is_number: 8049747
• publication_year: 2017
• publication_date: 28-31 May 2017
• start_page: 1
• end_page: 4
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 91
• insert_date: 20170928
• index_terms:
  • ieee_terms:
    • Optical sensors
    • Optical imaging
    • Adaptive optics
    • Optical signal processing
    • Optical design
  • dynamic_index_terms:
    • Electric Power
    • Electrical System
    • Computer Image
    • Image Calculator
    • Computational Imaging System
    • Electrical Dissipation
    • Electrical Power Dissipation
    • Signal Processing
    • Image Sensor
    • Camera Sensor
    • Digital Signal Processing
    • Optical Elements
    • Diffractive Optical Elements
    • Fewer Pixels
    • Image Processing
    • Convolution
    • Reduction In The Number
    • Optical Tomography
    • Optical Imaging
    • Optical System
    • Optical Devices
    • Matrix Factorization
    • Matrix Decomposition
    • Factor Matrices
    • Point Source
    • Nonlinear Process
    • Point Spread Function
    • Linear Process
    • Scene Point
    • Scene Changes
    • Diffraction Grating
    • Diffraction Orders
    • Digital Output
    • Optical Design
    • Negative Light
    • Optical Processing
    • Optical Signal Processing
    • Optical Calculations
    • Optical Computing
    • Matrix Factorization Algorithm
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-1427-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-6853-7, isbnType: New-2005
• authors:
  • Author Name: David G. Stork
    Affiliation: Rambus Labs, Sunnyvale, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37266211200
    ID: 37266211200
    Order: 1
    Author Affiliations:
    • Rambus Labs, Sunnyvale, CA, USA
  • Author Name: Thomas Vogelsang
    Affiliation: Rambus Labs, Sunnyvale, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37394738300
    ID: 37394738300
    Order: 2
    Author Affiliations:
    • Rambus Labs, Sunnyvale, CA, USA
  • Author Name: James Tringali
    Affiliation: Rambus Labs, Sunnyvale, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086021267
    ID: 37086021267
    Order: 3
    Author Affiliations:
    • Rambus Labs, Sunnyvale, CA, USA
  • Author Name: Patrick R. Gill
    Affiliation: Rambus Labs, Sunnyvale, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086026959
    ID: 37086026959
    Order: 4
    Author Affiliations:
    • Rambus Labs, Sunnyvale, CA, USA
  • Author Name: Mark Kellam
    Affiliation: Rambus Labs, Chapel Hill, NC, USA
    Author URL: https://ieeexplore.ieee.org/author/37085587994
    ID: 37085587994
    Order: 5
    Author Affiliations:
    • Rambus Labs, Chapel Hill, NC, USA
  • Author Name: Evan Erickson
    Affiliation: Rambus Labs, Chapel Hill, NC, USA
    Author URL: https://ieeexplore.ieee.org/author/37086029565
    ID: 37086029565
    Order: 6
    Author Affiliations:
    • Rambus Labs, Chapel Hill, NC, USA

Image Sensor

• sensor_type: CMOS
• resolution: 16 pixels
• dynamic_range:
• pixel_size:
• dark_current:

Optical Data

• focal_length:
• aperture:
• field_of_view:
• distortion:

Performance Metrics

• frame_rate: 1.0 fps
• signal_to_noise_ratio:
• sensitivity:
• shutter_speed: 1000 μs
• power_consumption: 1.81 μW
• noise:

Applications & Benefits

• cell_imaging:
• benefits:

Supporting Organizations

• supported_by: Rambus Labs, Forza Silicon Corporation

Manuscript Details

• publication_date: 28-31 May 2017

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • signal_to_noise_ratio
  • fill_factor
  • quantum_efficiency
  • readout_speed
  • temporal_noise
  • fixed-pattern_noise
  • analog_to_digital_conversion
  • microlenses
  • on_chip_colour_filters
  • global_shutters
  • rolling_shutters
  • backside_illumination

Processed JSON Filename

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