DocumentCode :
605862
Title :
FPGA implementation of pipelined architecture for SPIHT algorithm
Author :
Vanaja, R. ; Praba, N.L.
Author_Institution :
Dhanalakshmi Srinivasan Eng. Coll., Perambalur, India
fYear :
2013
fDate :
25-26 March 2013
Firstpage :
456
Lastpage :
461
Abstract :
This paper presents a throughput efficient FPGA implementation of the `Set Partitioning in Hierarchical Trees´ (SPIHT) algorithm for compression of images. The SPIHT uses inherent redundancy among wavelet coefficients and suited for both gray and color images. The SPIHT algorithm uses dynamic data structures which hinders hardware realization. In this FPGA implementation have modified basic SPIHT in two ways, one by using static (fixed) mappings which represent significant information and the other by interchanging the sorting and refinement passes. A hardware realization is done in a Xilinx XC3S200 device. The SPIHT algorithm can be applied to both grey-scale and colored images. SPIHT displays exceptional characteristics over several properties like good image quality, fast coding and decoding, a fully progressive bit stream, application in lossless compression, error protection and ability to code for exact bit rate.
Keywords :
decoding; field programmable gate arrays; image coding; image colour analysis; pipeline processing; set theory; sorting; tree data structures; wavelet transforms; FPGA implementation; SPIHT algorithm; Xilinx XC3S200 device; bit rate; color images; dynamic data structures; error protection; gray images; hardware realization; image coding; image decoding; image quality; lossless image compression; pipelined architecture; refinement passes; set partitioning-in-hierarchical trees algorithm; sorting passes; static-fixed mappings; wavelet coefficients; Algorithm design and analysis; Computer architecture; Hardware; Image coding; Partitioning algorithms; Wavelet transforms; DWT; SPIHT; compression process; encoder and decoder; list of insignificant pixels (LIP); list of insignificant sets(LIS); list of significant pixels (LSP); offsprings; wavelet coefficient; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location :
Tirunelveli
Print_ISBN :
978-1-4673-5037-2
Type :
conf
DOI :
10.1109/ICE-CCN.2013.6528542
Filename :
6528542
Link To Document :
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