Summary
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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Extract
In-Service Video Quality Measurements in Optical Fiber Links Based On Neural Network
1. Introduction
1.1 Image transmission noise measurementTremendous advances in computer and communication technologies have led to proliferation of digital media content. The digital systems are replacing all existing analog systems as a new carrier of the media service. However, noise occurs everywhere in video systems; cameras, video tape recorders, video tape, amplifiers, power supplies, cables and their connectors. On the other hand, every component in video signal generation, distribution, and transmission causes some noise in the video signal. But in this work only transmission line noise is considered. However, o...See the full content of this document
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