The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Design and Implementation of Low-Power DWT Processor for JPEG2000 Compression of Medical Images

의료영상의 JPEG2000 압축을 위한 저전력 DWT 프로세서의 설계 및 구현

  • 장영범 (상명대 공대 정보통신공학과) ;
  • 이원상 (상명대 공대 정보통신공학과) ;
  • 유선국 (연세대 의학공학교실)
  • Published : 2005.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, low-power design and implementation techniques for DWT(Discrete Wavelet Transform) of the JPEG2000 compression are proposed. In DWT block of the JPEG2000, linear phase 9 tap and 7 tap filters are used. For low-power implementation of those filters, processor technique for DA(Distributed Arithmetic) filter and minimization technique for number of addition in CSD(Canonic Signed Digit) filter are utilized. Proposed filter structure consists of 3 blocks. In the first CSD coefficient block, every possible 4 bit CSD coefficients are calculated and stored. In second processor block, multiplication is done by MUX and addition processor in terms of the binary values of filter coefficient. Finally, in third block, multiplied values are output and stored in flip-flop train. For comparison of the implementation area and power dissipation, proposed and conventional structures are implemented by using Verilog-HDL coding. In simulation, it is shown that 53.1% of the implementation area can be reduced comparison with those of the conventional structure.

Keywords

References

  1. PS 3.1-2003, DICOM(Digital Imaging and Communicatior, in Medicine) Part 1: Introduction and Overview, National Electrical Manufacturers Association, 2003
  2. ITU-T Recommendation T.81, 'Information Technology - Digital Compression and Coding of Continuous-tone Still Images-requirements and Guidelines', ITU-T, Feb. 1992
  3. Rafel C. Gonzalez, Richard E. Woods, Digital image processing, Prentice Hall, pp. 467-485, 2002
  4. J. C. Ventura, Digital audio gain control for hearing aid, Proc. IEEE ICASSP, pp. 2049-2052, 1989 https://doi.org/10.1109/ICASSP.1989.266863
  5. C. Sidney Burrus, Ramesh A. Gopinath, Haitao Guo, Introduction to Wavelets and Wavelet Transforms, Prentice Hall, pp. 1-40, 1998
  6. Information Technology - JPEG2000 Image Coding System, ISO/IEC Final Draft International Standard 15444-1, ITU Recommendation T.800, 2000
  7. M. Rabbani, R. Joshi 'An overview of the JPEG2000 still image compression standard,' Signal Processing: Image Comrnunication, 17, pp. 3-48, 2002 https://doi.org/10.1016/S0923-5965(01)00024-8
  8. R. W. Reitwiesner, 'Binary arithmetic,' in Advances in Computers, New York: Academic, vol. 1, pp. 231-308, 1966
  9. R. I. Hartley, 'Subexpression sharing in filters using canonic signed digit multipliers,' IEEE Trans. Circuits and Systems-Il: Analog and Digital Signal Processing, vol. 43, No. 10, pp. 677-688, Oct. 1996 https://doi.org/10.1109/82.539000
  10. S. A. White, 'Applications of distributed arithmetic to digital signal processing: A tutorial review', IEEE ASSP Magazine, pp. 4-19, Jul. 1989 https://doi.org/10.1109/53.29648
  11. A. Sinha and M. Mehendale, 'Improving area efficiency of FIR filters implemented using distributed arithmetic,' Proc. Eleventh International Conference on VLSI Design, pp. 104-109, 1998 https://doi.org/10.1109/ICVD.1998.646586