Abstract

We recently reported good results with our image interpolation algorithm, One-Dimensional Control Grid Interpolation (1DCGI), in the context of grayscale images. 1DCGI has high quantitative accuracy, flexibility with respect to scaling factor, and low computational cost relative to similarly performing methods. Here we look to extend our method to the demosaicing of Bayer-Patterned images. 1DCGI-based demosaicing performs quantitatively better than the gradient-corrected linear interpolation method of Malvar. We also demonstrate effective interpolation of full color images.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X
DOIs
StatePublished - Mar 13 2012
EventComputational Imaging X - Burlingame, CA, United States
Duration: Jan 23 2012Jan 24 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8296
ISSN (Print)0277-786X

Other

OtherComputational Imaging X
CountryUnited States
CityBurlingame, CA
Period1/23/121/24/12

Keywords

  • Control Grid Interpolation
  • Demosaicing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Zwart, C. M., & Frakes, D. (2012). One-dimensional control grid interpolation-based demosaicing and color image interpolation. In Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging X [82960E] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8296). https://doi.org/10.1117/12.910933