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      Advanced image restoration techniques

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      Main report (3.923Mb)
      Author
      Mok, Chi Kin.
      Date of Issue
      1997
      School
      School of Electrical and Electronic Engineering
      Abstract
      The purpose of this report is to provide a summary of the investigation and research into the problem of restoring blurred and noisy images. The Matlab™ for Microsoft Windows™ is used in this project to implement different algorithms. In real life, pictures taken by a camera may be blurred due to the motion of either the camera or the target, or the defocusing of the camera. These blurs can be modeled as point spread functions (PSF). The knowledge of the PSF is important as it is required in the restoration processes. When the PSF is known, image restoration methods like Inverse Filtering and Wiener Filtering can be used to restore the pictures.
      Subject
      DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
      Type
      Thesis
      Rights
      NANYANG TECHNOLOGICAL UNIVERSITY
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      • EEE Theses

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