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Title page for etd-0901110-134922


URN etd-0901110-134922 Statistics This thesis had been viewed 1541 times. Download 1 times.
Author Ning-jun Syu
Author's Email Address No Public.
Department Communication Engineering
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 61
Title A Real-Time Image Enlargement Algorithm Using Derivatives
Keyword
  • PSNR
  • polynomial interpolation
  • Edge detect
  • Edge detect
  • polynomial interpolation
  • PSNR
  • Abstract Image enlargement techniques aim to convert low-resolution images into high-resolution ones. Conventional linear interpolation methods usually have difficulty in preserving local geometric structures. Nonlinear interpolation methods could well exploit the local data properties and thus obtain better results. However, their computational complexities are much higher than those of the linear methods. In this work, we classify an image point into four classes of texture constitutions by analyzing the local properties of its derivatives. We then adaptively choose appropriate interpolation scheme according to the constitution of a pixel. Experimental results demonstrate that the proposed method produces higher visual quality than conventional methods. Furthermore, it is suitable for hardware implementation due to its low complexity.
    Advisor Committee
  • Jia-ching Cheng - advisor
  • Files indicate in-campus access at 3 years and off-campus not accessible
    Date of Defense 2010-07-28 Date of Submission 2010-09-01


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