Superresolution Based On Interpolation And Global Sub Pixel Translation

• doi: 10.1109/CRV.2007.62
• title: Super-resolution based on interpolation and global sub pixel translation
• publisher: IEEE
• isbn: 0-7695-2786-8
• issn:
• partnum: 07PR2786
• rank: 3674
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper we present a new class of reconstruction algorithms that are basically different from the traditional approaches. We deviate from the traditional technique which treats the pixels of the image as point samples. In this work, the pixels are treated as rectangular surface samples. It is in conformity with image formation process, in particular for CCD/CMOS sensors, which are a matrix of rectangular surfaces sensitive to the light. We show that results of better quality in terms of the measurements employed are obtained by formulating the reconstruction as a two-stage process: the restoration of image followed by the application of the point spread function (PSF) of the imaging sensor. By coupling the PSF with the reconstruction process, we satisfy a measure of accuracy that is based on the physical limitations of the sensor. Effective techniques for the restoration of image are derived to invert the effects of the PSF and estimate the original image. For the algorithm of restoration, we introduce a new method of interpolation implying a sequence of images, not necessarily a temporal sequence, shifted compared to an image of reference.
• article_number: 4228571
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4228571
• html_url: https://ieeexplore.ieee.org/document/4228571/
• abstract_url: https://ieeexplore.ieee.org/document/4228571/
• publication_title: Fourth Canadian Conference on Computer and Robot Vision (CRV '07)
• conference_location: Montreal, QC, Canada
• conference_dates: 28-30 May 2007
• publication_number: 4228509
• is_number: 4228510
• publication_year: 2007
• publication_date: 28-30 May 2007
• start_page: 448
• end_page: 458
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 178
• insert_date: 20070611
• index_terms:
  • ieee_terms:
    • Interpolation
    • Image restoration
    • Surface reconstruction
    • Surface treatment
    • CMOS image sensors
    • Image reconstruction
    • Reconstruction algorithms
    • Pixel
    • Charge coupled devices
    • CMOS process
  • dynamic_index_terms:
    • Interpolation
    • Pixel Translation
    • Quality Of Outcomes
    • Quality Of Results
    • Image Pixels
    • Image Sensor
    • Camera Sensor
    • Image Formation
    • Reconstruction Process
    • Point Spread Function
    • Sensor Function
    • Limitations Of Sensors
    • Image Formation Process
    • High-resolution Images
    • Functional Form
    • System Of Equations
    • Image Reconstruction
    • Iterative Reconstruction
    • Tomographic Reconstruction
    • Imaging Applications
    • Scene Images
    • System Of Linear Equations
    • Shot Noise
    • Poisson Noise
    • Polynomial Coefficients
• isbn_formats:
  • format: Print ISBN, value: 0-7695-2786-8, isbnType: Historical
• authors:
  • Author Name: Kamel Mecheri
    Affiliation: Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37685357200
    ID: 37685357200
    Order: 1
    Author Affiliations:
    • Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada
  • Author Name: Djemel Ziou
    Affiliation: Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37271098600
    ID: 37271098600
    Order: 2
    Author Affiliations:
    • Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada
  • Author Name: Francois Deschenes
    Affiliation: Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37424444400
    ID: 37424444400
    Order: 3
    Author Affiliations:
    • Département d'informatique Centre de recherche MOIVRE, Université de Sherbrooke, Sherbrooke, QUE, Canada

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: 6.25
• dark_current: not specified

Optical Data

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

Performance Metrics

Applications & Benefits

• cell_imaging: High-resolution imaging for accurate diagnostics and detailed analysis.
• benefits: Enhanced imaging performance through super-resolution techniques using multiple low-resolution images.

Supporting Organizations

• supported_by: Université de Sherbrooke, Centre de recherche MOIVRE

Manuscript Details

• publication_date: 28-30 May 2007

Relevancy Score

• score: 10

Processed JSON Filename

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