Quality Assessment of Images Transmitted over Optical Fiber Communications Systems based on Statistical Metrics

Document Type : Original Article

Authors

Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering, Menouf 32951, Menoufia University, EGYPT

Abstract

This paper presents two efficient approaches for radiation effect identification using signal and image processing concepts. The first approach depends on k-means clustering performed on spectrometer counts versus wavelength. The other approach depends on the analysis of zebra chart image based on depth/edge model. Quality metrics of the received images are used for classification on of the cases with and without radiation. Simulation results reveal high efficiency of the two proposed approaches for radiation effect detection.

Keywords


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