University of Illinois Urbana-Champaign

Fast Super-Resolution through Polyphase Decomposition and Armijo Line Search

Ho, David Joon

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https://hdl.handle.net/2142/47014

Description

Title
Fast Super-Resolution through Polyphase Decomposition and Armijo Line Search
Author(s)
Ho, David Joon
Contributor(s)
  • Blackburn, Joshua
  • Do, Minh N.
Issue Date
2009-12
Keyword(s)
  • imaging
  • superresolution
  • polyphase decomposition
  • Amijo line search
  • fast algorithms
Abstract
Super-resolution is an algorithm which can create a high-resolution image from a set of low-resolution images. A set of low-resolution images can be modeled from a high-resolution image by geometric warping, blurring, and decimation. In the past, people assumed that the blur operation would be the same for every low-resolution image; the algorithm applies when we use a single camera and it reduces the computational complexity. In this research, we generalize the problem that the blur operations are not the same anymore so that the algorithm is not restricted to a single camera. Through polyphase decomposition and Armijo line search, we are still able to have a fast algorithm. The results show that polyphase decomposition and Armijo line search reduce the running time by 75 times compared with the original algorithm.
Type of Resource
text
Language
en
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http://hdl.handle.net/2142/47014

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