Adaptive Binary Arithmetic coder used in SPIHT for high performance applications
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چکیده
Adaptive Binary Arithmetic coder used in SPIHT for high performance applications K. SUBBA RAMI REDDY, P. HARINATH REDDY 2 M.Tech (VLSI) Student, Assistant Professor & HOD, Department of ECE, Srinivasa Institute of Technology and Science Ukkayapalli, Kadapa-A.P.India _________________________________________________________________________ ABSTRACT: 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 adaptive binary arithmetic coder design is based on the key elements of binerization , context modeling, and binary arithmetic coding. Binarization makes efficient binary arithmetic coding via a unique mapping of non binary syntax elements to a sequence of bits, which are called bins. Each bin can either be processed in the regular coding mode or the bypass mode. The latter is chosen for selected bins in order to allow a speedup of the whole encoding (and decoding) process means of simplified non adaptive coding benefit, where a bin may be context modeled and subsequently arithmetic encoded. A pipeline register is inserted between context memory and the binary arithmetic decoder to reduce the critical path of the loop. The speed of the SPIHT algorithm is increased by using adaptive binary arithmetic coderthen using Arithmetic Coder. The Coding is done in VHDL language and synthesized using Xilinx ISE 13.2 and simulated using ISim. As a design decision, the speed of the SPIHT algorithm is increased by using adaptive binary arithmetic coder than using Arithmetic Coder.
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