Image transmission quality analysis over adaptive Reed-Solomon coding

Image compression standard are sensitive to channel noise, so for noisy channels it is necessary to investigate in order to select the appropriate channel coding method as a trade-off between the image quality and the ability to control errors. Reed-Solomon (RS) codes which are described by Reed and Solomon in 1960 are powerful error correcting codes and are becoming more frequently used due to the availability of VLSI components. RS codes have a powerful random and burst correcting ability. The Reed-Solomon code can be adapted towards the burst error correcting capabilities and this will be shown in the contribution. This paper investigates the effects of noise on the performance of Reed-Solomon coding methods for different errors correction capability. First, the relations among the BER, SNR, and code lengths are analysed. Further, the transmission performance of RS codes association with different modem schemes are analysed. The results listed in this article denote the effects of the using RS codes in a selected method. Based on this analysis an adaptive RS scheme is proposed to decide on the correcting capabilities that offers the best reconstructed image quality.