Iterative decoding of JPEG coded images with channel coding in bit-rate analysis

We investigate iterative decoding of JPEG coded images combined with channel coding in bit-rate over noisy channels. The bit-rates and forward error correction are considered in different channel conditions. The bit-rate can be produced different image quality and data. The lower bit-rate presents the worse image quality, but the image data is less. However, the channel encoder gives a little error protection after the source encoder. The turbo decoder can produce a good image quality by several iterations. By these iterations mechanism, the lower bit-rate compression also presents a good image quality after source decoding. The increase the number of iteration gains the average of the PSNR up to 8-9 dB in the same bit-rate in the channel conditions. We propose the lower bit-rate image quality also achieving the corresponding performance than high bit-rate image quality by the corresponding iterations. The minor performance of the PSNR can be improved more than 5 iterations. Therefore, the iterative decoding scheme can be achieved in a real-time system.