“School of Cognitive Sciences”
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| Paper IPM / Cognitive Sciences / 8802 |
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| Abstract: | |||||
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Video quality assessment plays a key role in evaluating and optimizing video
systems. In this paper, objective image quality metric, appropriate for the fiber
optic image transmission line without accessing to the original images, is
evaluated by conventional neural networks. It allows an efficient continuous
time scoring of the video stream efficiently by a mark on a scale of zero to
five. The image database in this research has been collected in the Semnan
University. The certainty of the trained network is above 81 percent.
Simulation results show that the proposed method is highly correlated with
experimental data collected through the subjective experiments.
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