Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/455
Title: Compression Techniques for Medical Images Transmission over Multi Core Optical Fiber Using CDMA
Authors: Abche, Antoine 
Salam, Alaa
Inaty, Elie 
Karam, Elie 
Affiliations: Department of Electrical Engineering 
Department of Electrical Engineering 
Department of Electrical Engineering 
Keywords: Optical fibre communication
Biomedical communication
Code division multiplexing
Data compression--Data compression--Data compression
Image coding
Medical image processing
Monte Carlo methods
Subjects: Code division multiple access
Issue Date: 2015
Publisher: IEEE
Part of: EUROSIM 2013
Start page: 384
End page: 389
Conference: EUROSIM Congress on Modelling and Simulation (8th : 10-13 Sept. 2013 : Cardiff, UK) 
Abstract: 
In this work, an approach that incorporates the compression of images to transmit high resolution medical images is presented. It is based on a double blind CDMA technology. The proposed approach assumes that several users (medical practitioners, doctors) are transmitting images from one location to another simultaneously. The images are encoded using two-steps procedure: 1) coding the pixels (users) using spatial Optical Orthogonal Signature Patterns (OOSPs) and 2) coding the bits using time orthogonal basis functions. The encoding procedure follows the compression of images to reduce the occurrence of ghost pulses and to increase the transmission rate. Then, the encoded images are combined using a multiplexer and the results are transmitted over multi-core optical fiber. The aim of this approach is to achieve a fast transmission (parallel transmission). At the receiver end, the information is collected and is de-multiplexed to identify the user and to reconstruct the original images i.e. is decoded using the same double blind Orthogonal Signatures and compression techniques that are implemented for encoding purposes. The performance is quantitatively evaluated using Monte-Carlo simulation techniques by studying different criteria: Bit Error Rate, Root Mean Square Error and Pixel Error Rate.
URI: https://scholarhub.balamand.edu.lb/handle/uob/455
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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