Hand Motion And Image Stabilization In Handheld Devices

• doi: 10.1109/TCE.2007.4429245
• title: Hand Motion and Image Stabilization in Hand-held Devices
• publisher: IEEE
• isbn:
• issn: 1558-4127
• rank: 2558
• access_type: LOCKED
• content_type: Journals
• abstract: The mobile imaging market is a rapidly developing market, and has outgrown the traditional imaging market. This market is dominated by CMOS sensors, with pixels getting small and smaller. As pixel size is reduced, the sensitivity is lowered and must be compensated by longer exposure times. However, in the mobile market, this amount to increased motion blur. We characterize the hand motion with a typical shooting scenario. This data can be used to create an evaluation procedure for image stabilization solutions, and we indeed present one such procedure.
• article_number: 4429245
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4429245
• html_url: https://ieeexplore.ieee.org/document/4429245/
• abstract_url: https://ieeexplore.ieee.org/document/4429245/
• publication_title: IEEE Transactions on Consumer Electronics
• conference_location:
• conference_dates:
• publication_number: 30
• is_number: 4429199
• publication_year: 2007
• publication_date: Nov. 2007
• start_page: 1508
• end_page: 1512
• citing_paper_count: 13
• citing_patent_count: 0
• download_count: 511
• insert_date: 20080114
• index_terms:
  • ieee_terms:
    • Cameras
    • Sensor phenomena and characterization
    • Spatial resolution
    • Data analysis
    • Motion measurement
    • Video sequences
    • Gyroscopes
    • CMOS image sensors
    • Digital images
    • Image sensors
  • dynamic_index_terms:
    • Mobile Devices
    • Portable Devices
    • Hand Motion
    • Exposure Time
    • Motion Blur
    • Mobile Marketing
    • Benchmark
    • Function Of Time
    • Form Factor
    • Image Plane
    • Optical Axis
    • Fiber Axis
    • Beam Axis
    • Viewing Angle
    • Video Sequences
    • Rigid Transformation
    • Rigid Motion
    • Sensor Resolution
    • Blurred Images
    • Camera Motion
    • Modulation Transfer Function
    • Optical Transfer Function
    • Homogeneous Coordinates
    • Rolling Shutter
• authors:
  • Author Name: Etay Mar Or
    Affiliation: Advasense Technologies Limited, Ra'anana, Israel
    Author URL: https://ieeexplore.ieee.org/author/37833264500
    ID: 37833264500
    Order: 1
    Author Affiliations:
    • Advasense Technologies Limited, Ra'anana, Israel
  • Author Name: Dmitry Pundik
    Affiliation: Advasense Technologies Limited, Ra'anana, Israel
    Author URL: https://ieeexplore.ieee.org/author/37833265400
    ID: 37833265400
    Order: 2
    Author Affiliations:
    • Advasense Technologies Limited, Ra'anana, Israel

Image Sensor

• sensor_type: CMOS
• resolution: VGA (640x480)
• dynamic_range: Not specified in the text
• pixel_size: Not specified in the text
• dark_current: Not specified in the text

Optical Data

• focal_length: Not specified in the text
• aperture: Not specified in the text
• field_of_view: Not specified in the text
• distortion: Not specified in the text

Performance Metrics

• frame_rate: 96 fps
• signal_to_noise_ratio: Not specified in the text
• sensitivity: Lower sensitivity due to smaller pixel sizes
• shutter_speed: Not specified in the text
• power_consumption: Not specified in the text
• noise: Not specified in the text

Applications & Benefits

• cell_imaging: Applications in mobile imaging, smartphones, and other hand-held devices.
• benefits: Image stabilization solutions are required to counteract motion blur due to increased exposure time.

Supporting Organizations

• supported_by: Advasense Technologies (2004) Ltd.

Manuscript Details

• publication_date: Nov. 2007

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global shutter
  • backside illumination

Processed JSON Filename

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