Motion Deblurring Using Hybrid Imaging

• doi: 10.1109/CVPR.2003.1211416
• title: Motion deblurring using hybrid imaging
• publisher: IEEE
• isbn: 0-7695-1900-8
• issn: 1063-6919
• rank: 3052
• access_type: LOCKED
• content_type: Conferences
• abstract: Motion blur due to camera motion can significantly degrade the quality of an image. Since the path of the camera motion can be arbitrary, deblurring of motion blurred images is a hard problem. Previous methods to deal with this problem have included blind restoration of motion blurred images, optical correction using stabilized lenses, and special CMOS sensors that limit the exposure time in the presence of motion. In this paper, we exploit the fundamental tradeoff between spatial resolution and temporal resolution to construct a hybrid camera that can measure its own motion during image integration. The acquired motion information is used to compute a point spread function (PSF) that represents the path of the camera during integration. This PSF is then used to deblur the image. To verify the feasibility of hybrid imaging for motion deblurring, we have implemented a prototype hybrid camera. This prototype system was evaluated in different indoor and outdoor scenes using long exposures and complex camera motion paths. The results show that, with minimal resources, hybrid imaging outperforms previous approaches to the motion blur problem.
• article_number: 1211416
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1211416
• html_url: https://ieeexplore.ieee.org/document/1211416/
• abstract_url: https://ieeexplore.ieee.org/document/1211416/
• publication_title: 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
• conference_location: Madison, WI, USA
• conference_dates: 18-20 June 2003
• publication_number: 8603
• is_number: 27265
• publication_year: 2003
• publication_date: 18-20 June 2003
• start_page: I
• end_page: I
• citing_paper_count: 79
• citing_patent_count: 36
• download_count: 1035
• insert_date: 20030715
• index_terms:
  • ieee_terms:
    • Cameras
    • Optical imaging
    • Optical sensors
    • CMOS image sensors
    • Spatial resolution
    • Prototypes
    • Degradation
    • Image restoration
    • Lenses
    • Image resolution
  • dynamic_index_terms:
    • Hybrid Imaging
    • Motion Deblurring
    • Spatial Resolution
    • Exposure Time
    • Image Quality
    • Point Spread Function
    • Prototype System
    • Motion Information
    • Motion Blur
    • Blurred Images
    • Camera Motion
    • Outdoor Scenes
    • Spatial Temporal Resolution
    • Temporal-spatial Resolution
    • Motion Path
    • Feasibility Of Imaging
    • High-resolution
    • Simulation Results
    • Low Resolution
    • High-resolution Images
    • Grayscale
    • Greyscale
    • Gray Level
    • Sub-pixel Accuracy
    • Motion Estimation
    • Primary Detection
    • Low Temporal Resolution
    • Global Motion
    • Optical Flow
    • Spatial Derivatives
    • Image Deconvolution
    • Successive Frames
    • Zoom Lens
    • Zoom Lenses
    • Telephoto Lens
• isbn_formats:
  • format: Print ISBN, value: 0-7695-1900-8, isbnType: Historical
• authors:
  • Author Name: M. Ben-Ezra
    Affiliation: Computer Science Department, Columbia University, New York, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/38270371600
    ID: 38270371600
    Order: 1
    Author Affiliations:
    • Computer Science Department, Columbia University, New York, NY, USA
  • Author Name: S.K. Nayar
    Affiliation: Computer Science Department, Columbia University, New York, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37278100400
    ID: 37278100400
    Order: 2
    Author Affiliations:
    • Computer Science Department, Columbia University, New York, NY, USA

Image Sensor

• sensor_type: CMOS
• resolution: 2048x1536
• dynamic_range: not specified
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: up to 884mm
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• shutter_speed: up to 4.0 sec

Applications & Benefits

• cell_imaging: The method presents a solution for motion deblurring, which can enhance imaging quality in applications like medical imaging and surveillance systems.
• benefits: The hybrid imaging system outperforms previous methods with minimal additional resources.

Supporting Organizations

• supported_by: NSF ITR Award IIS-00-85864

Manuscript Details

• publication_date: 18-20 June 2003

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • signal_to_noise_ratio
  • frame_rate
  • sensitivity
  • power_consumption
  • noise
  • aperture
  • field_of_view
  • distortion

Processed JSON Filename

request_3fa9b60e-d588-4f89-a659-cc5fdbe14349-motion_deblurring_using_hybrid_imaging.json