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New blind restoration of motion blurred images based on super-resolution method

  • Lin Zhao*
  • , Wei Qi Jin
  • , Yi Nan Chen
  • , Gui Qing Zhang
  • , Ya Zhong Shen
  • , Chun Song Yang
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Huaxia Research Center of Identify and Material Evidence

Research output: Contribution to journal › Article › peer-review

Abstract

A restoration methods of deep motion-blurred images was analyzed. Using Radon transform of the spectrum of motion blurred image, the angle of motion was estimated and the blur extent was computed by autocorrelation of blurred image along this angle. More details of the image could be restored by super-resolution arithmetic which took the angle and extent as parameters necessarily. The experiments results show that the synthesis method above can estimate the blur parameters accurately and the results are satisfied.

Original languageEnglish
Pages (from-to)2355-2359
Number of pages5
JournalGuangzi Xuebao/Acta Photonica Sinica
Volume37
Issue number11
Publication statusPublished - Nov 2008

Keywords

  • Autocorrelation
  • Blind restoration
  • Image processing
  • Image restoration
  • Motion blur
  • Radon transform
  • Super-resolution

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