Generalized multiple description coding with correlating transforms

Generalized multiple description coding with correlating transforms

Multiple description (MD) coding is source coding in which several descriptions of the source are produced such that various reconstruction qualities are obtained from different subsets of the descriptions. Unlike multiresolution or layered source coding, there is no hierarchy of descriptions; thus, MD coding is suitable for packet erasure channels or networks without priority provisions. Gener...

Multiple description coding using pairwise correlating transforms

The objective of multiple description coding (MDC) is to encode a source into multiple bitstreams supporting multiple quality levels of decoding. In this paper, we only consider the two-description case, where the requirement is that a high-quality reconstruction should be decodable from the two bitstreams together, while lower, but still acceptable, quality reconstructions should be decodable ...

Multiple description perceptual audio coding with correlating transforms

In audio communication over a lossy packet network, concealment techniques are used to mitigate the effects of lost packets. This concealment is markedly improved if the compressed representation retains redundancy to aid in the estimation of lost information. A perceptual audio coder employing multiple description correlating transforms demonstrates this phenomenon.

Spiht for Generalized Multiple Description Coding

We present a simple and eecient scheme for using the Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithm 1] in a generalized multiple description framework. To combat packet loss, controlled amounts of redundancy are added to the original data during the compression process. Unequal loss protection is implemented by varying the amount of redundancy with the importance of ...

Practical Multiple Description Coding Techniques with Correlating Transform and Layered Coding