Blur Identification from Vector Quantizer Encoder Distortion

@article{Panchapakesan1998BlurIF,
  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},
  year={1998},
  volume={10 3},
  pages={465-70}
}
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
Highly Cited
This paper has 31 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

Learning Blind Deconvolution

View 7 Excerpts
Highly Influenced

Performance Analysis on the Assessment of Fingerprint Image Based on Blur Measurement

2013 International Conference on Parallel and Distributed Computing, Applications and Technologies • 2013
View 1 Excerpt

Blind Image Deconvolution Using Machine Learning for Three-Dimensional Microscopy

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2010
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-6 of 6 references

Introduction to Fourier Optics (McGraw-Hill

J. W. Goodman
NY) • 1968
View 3 Excerpts
Highly Influenced

Vector Quantization and Signal Compression (Kluwer

A. Gersho, R. M. Gray
MA) • 1992
View 1 Excerpt

Digital Image Restora- tion (Prentice-Hall

H. C. Andrews, B. R. Hunt
NJ) • 1977
View 1 Excerpt

Similar Papers

Loading similar papers…