TY  - JOUR
T1  - Hebbian Neural Network Based Algorithm for Video Processing
AU - , Ismail A. Ismail AU - , Nabawia A. El-Ramly AU - , Mohammed Amin AU - , Hani M. Ibrahim 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 1
SP  - 172
EP  - 175
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.172.175
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.172.175
KW  - Gaussian noise
KW  -hebbian learning rule
KW  -neural networks
KW  -video processing
AB  - Traditional video processing methodology consists in transforming an original video in a processed video, using a well-known transformation function. This function is coded into the application. Our goal is to make a system able to perform image processing tasks without knowing the transformation function as traditional methods. We have  used  Artificial  Neural  Networks-ANN (Hebbian learning rule) in order to achieve this goal that is easy and flexible. The main advantage of this approach is that we haven’t used predefined algorithmic functions, but video visual features learning. However, in the proposed method each frame is processed independently from the others. This studies goal is to show the viability and usability of Neural Network training, in creating "adaptive intelligent filters", using Hebbian learning rule. The comparison between the proposed technique and the temporally average filter is included.
ER  -