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. 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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