@inproceedings{Asmatullah:2003:INMIC,
title = {Blind Image Restoration Using Back Propagator},
address = {Islamabad},
author = { Asmatullah and Anwar M. Mirza and Asifullah Khan},
booktitle = {Proceedings of the 7th International Multi Topic
Conference, INMIC 2003},
month = {8-9 December},
pages = {55--58},
publisher = {IEEE},
year = {2003},
abstract = {We describe the problem of restoring a blurred and
noisy image without any prior knowledge of the blurring
function and the statistics of additive noise. A
multilayer feed-forward neural network based on
backpropagation algorithm is used for image
restoration. The neural network is trained by applying
backpropagation with momentum for fast convergence. The
results of the backpropagation neural network model are
compared to that of Wiener filter for high, moderate
and low signal to noise ratio (SNR) blur functions.
Improvement in signal to noise ratio (ISNR) is taken as
a performance measure. It is observed that
backpropagation neural network learns well in each case
and restores all the test images reasonably, while
Wiener filter performs well for high and moderate SNR
blur but performs poorly for the low SNR case. ISNR
values of 5.58 db, 5.15 db and 5.13 db has been
achieved with this scheme for the peppers image, in
comparison to values of 4.17db, 2.71db and -0.93db
using Wiener filter for high, moderate and low SNR blur
respectively.},
doi = {doi:10.1109/INMIC.2003.1416615},
keywords = {AUROC }
}
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