Error correction by means of arithmetic codes: an application to resilient image transmission (original) (raw)

In this paper, two novel maximum a posferiori (MAP) estimators for the decoding of arithmetic codes in the presence of transmission errors arepresented. Trellis search techniques and a forbidden symbol are employed to obtain forward error correction. The proposed system is applied to lossless image compression and transmission across the BSC; the results are compared in terms of both performance and complexity with a traditional separated source and channel coding approach based on convolutional codes.