Extracting Dynamics From Blur

• doi: 10.1109/CDC.2011.6161153
• title: Extracting dynamics from blur
• publisher: IEEE
• isbn: 978-1-61284-799-3
• issn: 0743-1546
• partnum: 11CH38846
• rank: 2445
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper considers dynamic state estimation using blurry measurements from image sensors such as CCD(charge coupled device) or CMOS(complementary metal oxide semiconductor) arrays. Typically, the information obtained from these sensors is the time-averaged output measurement during the exposure time. The additional information available in the intensity distribution, termed blur, is disregarded as noise. This manuscript models the image sensor as an integrative intensity sensor and exploits its unique properties to extract additional (non-linear) output information through spatial moments of the intensity distribution. An extended Kalman filter is then designed to exploit this information for better state reconstruction. We illustrate this modeling and algorithm development in the context of state estimation for adaptive optics systems. Simulation results verify that using the spatial moments can lead to more fidelous state estimation.
• article_number: 6161153
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6161153
• html_url: https://ieeexplore.ieee.org/document/6161153/
• abstract_url: https://ieeexplore.ieee.org/document/6161153/
• publication_title: 2011 50th IEEE Conference on Decision and Control and European Control Conference
• conference_location: Orlando, FL, USA
• conference_dates: 12-15 Dec. 2011
• publication_number: 6149620
• is_number: 6159299
• publication_year: 2011
• publication_date: 12-15 Dec. 2011
• start_page: 5995
• end_page: 6000
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 90
• insert_date: 20120301
• index_terms:
  • ieee_terms:
    • Sensors
    • Image sensors
    • Noise
    • Kernel
    • Actuators
    • State estimation
  • dynamic_index_terms:
    • Exposure Time
    • CCD Camera
    • Charge-coupled Device
    • Intensity Distribution
    • Volume Of Distribution
    • Kalman Filter
    • Image Sensor
    • Camera Sensor
    • Moments Of Distribution
    • Extended Kalman Filter
    • Adaptive Optics
    • Nonlinear Output
    • Center Of Mass
    • Center Of Gravity
    • Additive Noise
    • Additive White Gaussian Noise
    • Random Noise
    • Channel Noise
    • System Identification
    • Temporal Information
    • Second Moment
    • Statistical Moments
    • Presence Of Noise
    • Charge-coupled Device Camera
    • Delta Function
    • Point Spread Function
    • Wavefront Sensor
    • Kernel Images
    • Operating System Kernel
    • Kernel Design
    • OS Kernel
    • Deformable Mirror
    • Motion Blur
    • Ill-posed Inverse Problem
    • Noise Covariance
    • Update Rate
    • Local Linear
    • Sensor Model
    • Class Of Sensors
• isbn_formats:
  • format: Online ISBN, value: 978-1-61284-799-3, isbnType: New-2005
  • format: CD, value: 978-1-4673-0457-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-61284-800-6, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-61284-801-3, isbnType: New-2005
• authors:
  • Author Name: Sandipan Mishra
    Affiliation: Faculty of Mechanical, AeroSpace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37532698000
    ID: 37532698000
    Order: 1
    Author Affiliations:
    • Faculty of Mechanical, AeroSpace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
  • Author Name: John Wen
    Affiliation: Faculty of Electrical, Systems and Computer Engineering, Rensselaer Polytechnic Institute, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37278935000
    ID: 37278935000
    Order: 2
    Author Affiliations:
    • Faculty of Electrical, Systems and Computer Engineering, Rensselaer Polytechnic Institute, 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

• frame_rate: 15-50 Hz

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enables digital imaging in applications such as smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: Rensselaer Polytechnic Institute

Manuscript Details

• publication_date: 12-15 Dec. 2011

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • additional_benefits

Processed JSON Filename

request_4981e0d4-d543-49ba-8658-9f246609bbfb-extracting_dynamics_from_blur.json