Abstract
Digital images have become an essential working tool in several areas such as the medical field, the satellite and astronomical field, film production, etc. The efficiency of a transmission system to exchange digital images is crucial to allow better and accurate reception. Generally, transmitted images are infected with noise. In the medical field, this noise makes the process of diagnosing difficult. To eliminate the transmission errors, an Error Correcting Code (ECC) can be used with the aim to guarantee excellent reception of the images and allowing a good diagnosis. In this paper, source and channel encoding/ decoding functions are studied during medical image transmission (LUNG). At first, the Turbo-Code (TC) is used as ECC and subsequently the Turbo-Trellis Coded Modulation (TTCM). The simulation results represent the curves giving the Bit Error Rate (BER) as a function of the signal to noise ratio (Eb/N0). In order to compare these two systems properly, the MSSIM (Mean Structural Similarity) parameter was used. The obtained results showed the effect and importance of ECC on the transmission of medical images using TTCM which gave better results compared to TC with regard to increasing the performance of the transmission system by eliminating transmission noise.
Highlights
Given their importance and their massive use, digital images have become an essential mean of communication.Medical images are widely used as a diagnostic tool and in biomedical research [1]
The aim of the conducted simulation is to show the effect of the TC and Turbo-Trellis Coded Modulation (TTCM) on a medical image transmission chain in a Gaussian canal and to make a comparison between the performance of these two codes
The simulation results show that by using transmission systems with TTCM, there is a coding gain compared to transmission systems that use TC
Summary
Given their importance and their massive use, digital images have become an essential mean of communication.Medical images are widely used as a diagnostic tool and in biomedical research [1]. Sometimes it is necessary to transmit such images to distant doctors to have their opinions/diagnosis. The transmitted images are very sensitive to transmission errors, so it is very important to protect them against transmission noise in order to have on reception a sharp and clear image identical to the original one, allowing doctors to make a good diagnosis. As a solution to the noise problem, Error Correcting Code (ECC) can be added to the medical image transmission chain in order to eliminate the effect of noise during transmission. Such codes are: block codes, convolutional codes, LDPC codes [2], Turbo-Code (TC) and Turbo-Trellis Coded Modulation (TTCM). A new family of ECCs, the TTCM [6, 7], was introduced
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