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Reseach Article

Low Power Memory Efficient JPEG2000 Encoder With Condensed Huffman Table.

Published on None 2011 by Nimmy Maria Jose, E.Logashanmugam
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 18
None 2011
Authors: Nimmy Maria Jose, E.Logashanmugam
97f42550-81d7-4e56-8cf4-ff29677655ce

Nimmy Maria Jose, E.Logashanmugam . Low Power Memory Efficient JPEG2000 Encoder With Condensed Huffman Table.. International Conference on VLSI, Communication & Instrumentation. ICVCI, 18 (None 2011), 21-24.

@article{
author = { Nimmy Maria Jose, E.Logashanmugam },
title = { Low Power Memory Efficient JPEG2000 Encoder With Condensed Huffman Table. },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 18 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/icvci/number18/2766-1673/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Nimmy Maria Jose
%A E.Logashanmugam
%T Low Power Memory Efficient JPEG2000 Encoder With Condensed Huffman Table.
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 18
%P 21-24
%D 2011
%I International Journal of Computer Applications
Abstract

With the increased use of multimedia devices now a days, JPEG2000 play a critical role on affecting the circuit performance. This paper presents the design of a low power JPEG2000 encoder. The encoding side mainly performs preprocessing, wavelet transform, quantization and entropy coding which is two-tired. Here tier-1 coding is done with condensed Huffman table. Since we are using this table space requirement is reduced considerably because compression ratio is directly related to the size of Huffman table. Memory efficiency is also achieved with two-tier coding .The proposed JPEG2000 encoder consumes less power improved compression ratio when compared to the conventional encoders.

References
  1. Mohammad A. Makhzan , Amin Khajeh ,Ahmed Eltawil , and Fadi J. Kurdahi,”A low power JPEG2000 encoder with iterative and fault tolerant error concealment” IEEE transactions on very large scale integration (VLSI) systems.
  2. Kanchan H. Wagh, Pravin K. Dakhole, Vinod G. Adhau “Design & Implementation of JPEG2000 Encoder using VHDL”, Proceedings of the World Congress on Engineering 2008 Vol I WCE 2008, July 2 - 4, 2008, London, U.K.
  3. Abdullah Al Muhit “VLSI implementation of Discrete Wavelet Transform for image compression”, 2nd international conference on Autonomous Robots and Agents.
  4. Gaetano Impoco “JPEG2000 - A Short Tutorial” ,ISO/IEC 11544:1993 and ITU-T Recommendation T.82. Information technology – Coded representation of picture and audio information – progressive bi-level image compression, 1993.
  5. Reza Hashemian, “Condensed Table of Huffman Coding, a New Approach to Efficient Decoding”, IEEE transactions on communications, vol. 52, no. 1, january 2004.
  6. Reza Hashemian “Direct Huffman coding and decoding using the table of code-lengths” ,Northern Illinois University DeKalb.
  7. Kishor Sarawadekar and Swapna Banerjee , “A high speed bit plane coder for JPEG2000 and it’s fpga implementation”
  8. Diego Santa Cruz, Touradj Ebrahimi, and Joel Askelof ”Coding of Still Pictures” , Paper to be published in the Proceedings of SPIE, vol. 4115, of the 45th annual SPIE meeting.
  9. M.Jayaprakash, “FPGA implementation of Discrete Wavelet Transform for JPEG2000”, International Journal of Recent Trends in Engineering.
  10. Bao Ergude, Li Weisheng1, Fan Dongrui2, Ma Xiaoyu2 “A Study and Implementation of the Huffman Algorithm Based oncondensed Huffman Table”, 2Key Laboratory of Computer System and Architecture, Institute of Computer Technology, Chinese Academy of Sciences
  11. Kishore Andra, Chaitali Chakrabarti, and Tinku Acharya “A High-Performance JPEG2000 Architecture”, Senior Member, IEEE
  12. C. Zhang, Y. Long, and F. Kurdahi, “A scalable embedded JPEG2000 architecture,” in Embedded Computer Systems: Architecture, Modeling and Simulation, Hamalainen, Ed. et al. New York: Springer, 2005, vol.LNCS 3553, Lecture Notes in Computer Science.
Index Terms

Computer Science
Information Sciences

Keywords

JPEG2000 Condensed Huffman Table Wavelet transform