Abstract
In this thesis, we proposed a method of the multiple description coding (MDC) using scalar quantizers for the matching pursuit residual coding over a diversity network with two channels. Current video compression standards, such as H.263 and MPEG-2, use block-based discrete cosine transform (DCT) to encode prediction errors. DCT based video compression scheme is efficient but it introduces undesirable blocking artifacts at low bit rates. Using Matching pursuits (MP) for residual coding does not suffer from blocking artifacts because a over-complete basis set is used to match the residual.The parameters obtained after performing matching pursuit, called atoms, are used to encoded into two balanced descriptions using scalar quantizers. Then, the two descriptions are respectively transmitted over two separate channels. If both descriptions are received, a high-quality reconstruction can be decoded, however, if either description is lost, a low-quality, but acceptable, reconstruction can be decoded from the remaining channel. Simulation results show that our proposed method outperforms single description coding (SDC) of H.263 with FEC and MP MDC using share atoms over two-state Markov channel models.