A VQ-based blur identification algorithm. Nakagaki, R. & Katsaggelos, A. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., volume 3, pages III–725–8, 2003. IEEE.
A VQ-based blur identification algorithm [link]Paper  doi  abstract   bibtex   
The estimation of the point spread function (PSF) of the degradation system is often a necessary first step in the restoration of blurred images. In this work, a novel Vector Quantization (VQ)-based blur identification algorithm is presented. A number of codebooks are designed corresponding to various versions of the blurring function. Prototype images blurred by each candidate blur are used. Only the non-flat regions for specific frequency bands are represented by the entries of the codebooks. Given a noisy and blurred image, one of the codebooks is chosen based on a similarity measure, therefore providing the identification of the blur. Simulations are performed for various blurring functions and noise levels. The results demonstrate the effectiveness of the proposed algorithms.
@inproceedings{Ryo2003,
abstract = {The estimation of the point spread function (PSF) of the degradation system is often a necessary first step in the restoration of blurred images. In this work, a novel Vector Quantization (VQ)-based blur identification algorithm is presented. A number of codebooks are designed corresponding to various versions of the blurring function. Prototype images blurred by each candidate blur are used. Only the non-flat regions for specific frequency bands are represented by the entries of the codebooks. Given a noisy and blurred image, one of the codebooks is chosen based on a similarity measure, therefore providing the identification of the blur. Simulations are performed for various blurring functions and noise levels. The results demonstrate the effectiveness of the proposed algorithms.},
author = {Nakagaki, Ryo and Katsaggelos, A.K.},
booktitle = {2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).},
doi = {10.1109/ICASSP.2003.1199577},
isbn = {0-7803-7663-3},
issn = {15206149},
pages = {III--725--8},
publisher = {IEEE},
title = {{A VQ-based blur identification algorithm}},
url = {http://ieeexplore.ieee.org/document/1199577/},
volume = {3},
year = {2003}
}

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