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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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