High throughput Architecture of Arithmetic Coder Used in SPIHT
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
In this paper we propose a high-throughput memory-efficient arithmetic coder architecture for the set partitioning in hierarchical trees(SPIHT) image compression is proposed based on a simple context model in this paper. The architecture benefits from various optimizations performed at different levels of arithmetic coding from higher algorithm abstraction to lower circuits’ implementations. First, the complex context model used by software is mitigated by designing a simple context model, which just uses the brother nodes’ states in the coding zero tree of SPIHT to form context symbols for the arithmetic coding. The simple context model results in a regular access pattern during reading the wavelet transform coefficients, which is convenient to the hardware implementation, but at a cost of slight performance loss. Second, in order to avoid rescanning the wavelet transform coefficients, a breadth first search SPIHT without lists algorithm is used instead of SPIHT with lists algorithm. Especially, the coding bit-planes of each zero tree are processed in parallel. Third, an out-of-order execution mechanism for different types of context is proposed that can allocate the context symbol to the idle arithmetic coding core witha different order that of the input. For the balance of the input rate of the wavelet coefficients, eight arithmetic coders are replicated in the compression system. And in one arithmetic coder, there exists four cores to process different contexts. Fourth, several dedicated circuits are designed to further improve the throughput of the architecture.
Authors and Affiliations
S. T. Mrudula
Keywords
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