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• [P811] Out-of-Focus Blur Estimation for Blind Image Deconvolution: Using Partical Swarm Optimization
  Author(s): Tsung-Ying Sun, Sin-Jhe Ciou, Chan-Cheng Liu, Chih-Li Huo
  
  

  Abstract
  This study addresses a blind image deconvolution which uses only blurred image and tiny point spread function (PSF) information to restore the original image. Identify the blind image it is a very important step for reducing the image. Therefore, the first step is to look for PSF model. In this paper, particle swarm optimization (PSO) is therefore utilized to seek the unknown PSF. The objective function is based on the wavelet transform from. It can be precise to identify the parameters of PSF. Finally, the feasibility and validity of proposed algorithm are demonstrated by several simulations.

  
   

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