Title :
Compression Techniques for Medical Images Transmission over Multi Core Optical Fiber Using CDMA
Author :
Abche, Antoine ; Salam, Alaa ; Inaty, Elie ; Karam, Elie
Author_Institution :
Dept. of Electr. Eng., Univ. of Balamand, Tripoli, Lebanon
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.
Keywords :
Monte Carlo methods; biomedical communication; code division multiple access; code division multiplexing; data compression; image coding; medical image processing; optical fibre communication; Monte Carlo simulation techniques; bit coding; bit error rate; double blind CDMA technology; encoded images; ghost pulses; high resolution medical images; medical image compression techniques; medical image transmission; multicore optical fiber; multiplexer; parallel transmission; pixel coding; pixel error rate; root mean square error; spatial OOSP; spatial optical orthogonal signature patterns; time orthogonal basis functions; transmission rate; Biomedical imaging; Bit error rate; Encoding; Image coding; Image reconstruction; Multiaccess communication; Optical fibers; Bit Error Rate; CDMA; Fiber Optics; Image Transmission; Orthogonal Spatial Signature;
Conference_Titel :
Modelling and Simulation (EUROSIM), 2013 8th EUROSIM Congress on
Conference_Location :
Cardiff
DOI :
10.1109/EUROSIM.2013.73