Blur Identification from Vector Quantizer Encoder Distortion

  title={Blur Identification from Vector Quantizer Encoder Distortion},
  author={Kannan Panchapakesan and David G. Sheppard and Michael W. Marcellin and Bobby R. Hunt},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  volume={10 3},
Blur identification is a crucial first step in many image restoration techniques. An approach for identifying image blur using vector quantizer encoder distortion is proposed. The blur in an image is identified by choosing from a finite set of candidate blur functions. The method requires a set of training images produced by each of the blur candidates. Each of these sets is used to train a vector quantizer codebook. Given an image degraded by unknown blur, it is first encoded with each of… CONTINUE READING
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