Study Of Staggered Fusion Imaging Principle Of Cmos Image Sensor

• doi: 10.1109/SOPO.2009.5230210
• title: Study of Staggered Fusion Imaging Principle of CMOS Image Sensor
• publisher: IEEE
• isbn: 978-1-4244-4412-0
• issn: 2156-8480
• partnum: 09EX2887
• rank: 3645
• access_type: LOCKED
• content_type: Conferences
• abstract: In order to improve the performance and the resolution of the CMOS image sensors, a new method of staggered fusion imaging of CMOS image sensor was presented in this paper. In the staggered fusion process, four CMOS images were taken staggeringly in half pixel offset in directions of horizontal, vertical and diagonal and then were composed into one image. Theoretical analysis about the relations of pixel gray-level of original multi-images taken by CMOS image sensor and the reconstructed new image proved that resolution of the reconstructed new image of CMOS sensor can be raised by 4 times than the original images. In the simulation experiments done afterwards we did get the higher resolution reconstructed image from lower resolution images. The experimental results verify the theory analysis well. It indicated that the staggered fusion imaging method is promising for the future development of higher performance and lower price CMOS image sensors.
• article_number: 5230210
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5230210
• html_url: https://ieeexplore.ieee.org/document/5230210/
• abstract_url: https://ieeexplore.ieee.org/document/5230210/
• publication_title: 2009 Symposium on Photonics and Optoelectronics
• conference_location: Wuhan, China
• conference_dates: 14-16 Aug. 2009
• publication_number: 5230049
• is_number: 5230050
• publication_year: 2009
• publication_date: 14-16 Aug. 2009
• start_page: 1
• end_page: 4
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 385
• insert_date: 20090901
• index_terms:
  • ieee_terms:
    • CMOS image sensors
    • Image resolution
    • Pixel
    • CMOS technology
    • Spatial resolution
    • Optical imaging
    • Image reconstruction
    • Costs
    • Signal resolution
    • Lighting
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Low Resolution
    • Simulation Experiments
    • Image Reconstruction
    • Iterative Reconstruction
    • Tomographic Reconstruction
    • Development Performance
    • Evolution Of Performance
    • Low-resolution Images
    • Development Of Sensors
    • Image Processing
    • High-resolution Images
    • Sampling Frequency
    • Pixel Size
    • Reconstruction Algorithm
    • Sensitive Areas
    • Sensor Resolution
    • Pixel Column
• isbn_formats:
  • format: Print ISBN, value: 978-1-4244-4412-0, isbnType: New-2005
• authors:
  • Author Name: Yong-hong YAN
    Affiliation: School of Physics and Microelectronics Science, Hunan University, Changsha, China
    Author URL: https://ieeexplore.ieee.org/author/37065877100
    ID: 37065877100
    Order: 1
    Author Affiliations:
    • School of Physics and Microelectronics Science, Hunan University, Changsha, China
  • Author Name: Chun-sheng Qin
    Affiliation: School of Physics and Microelectronics Science, Hunan University, Changsha, China
    Author URL: https://ieeexplore.ieee.org/author/37088243859
    ID: 37088243859
    Order: 2
    Author Affiliations:
    • School of Physics and Microelectronics Science, Hunan University, Changsha, China

Image Sensor

• sensor_type: CMOS
• resolution: variable (depends on specific sensor design)
• dynamic_range: limited (subject to development)
• pixel_size: subject to optimization (not specified in the text)
• dark_current: subject to sensor design (not specified in the text)

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• signal_to_noise_ratio: limited
• power_consumption: low (compared to CCD)
• noise: low (compared to CCD, details not specified)

Applications & Benefits

• cell_imaging: CMOS sensors utilized for imaging in medical applications, including cell imaging, due to their lower power requirements and cost-efficient designs.
• benefits: Low power consumption, cost-effectiveness, integration capability with other circuits.

Supporting Organizations

• supported_by: Hunan University

Manuscript Details

• publication_date: 14-16 Aug. 2009

Relevancy Score

• score: 10

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