대한전자공학회논문지SD (Journal of the Institute of Electronics Engineers of Korea SD)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

JPEG2000 CODEC을 위한 DWT및 양자화기 VLSI 설계

A VLSI Design of Discrete Wavelet Transform and Scalar Quantization for JPEG2000 CODEC

  • 발행 : 2003.01.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 차세대 정지영상 압축 표준으로서 Wavelet 변환과 Bit-plane 단위의 산술부호화(Arithmetic coding)에 기반한 JPEG2000 코덱의 Wavelet 변환과 양자화기의 하드웨어적 구조를 제안하고, 설계하였다. DWT(Discrete Wavelet Transform)는 Lossy coding과 Lossless coding에 각각 적용할 수 있는 Daubechies 9/7 필터와 Daubechies 5/3 필터를 선택 가능하도록 설계하였으며 양자화기는 Scalar Quantization 방식를 사용하였다. 설계된 DWT와 양자화기는 Xilinx FPGA technology를 이용하여 Synopsys에서 합성한 후 동작을 검증하였으며, 설계된 블록을 30㎒로 동작 시켰을 때 640×480 크기의 걸려 이미지의 경우 초당 10프레임의 성능을 보인다.

JPEG200, a new international standard for still image compression based on wavelet and bit-plane coding techniques, is developed. In this paper, we design the DWT(Discrete Wavelet Transform) and quantizer for JPEG2000 CODEC. DWT handles both lossy and lossless compression using the same transform-based framework: The Daubechies 9/7 and 5/3 transforms, and quantizer is implemented as SQ(Scalar Quantization). The architecture of the proposed DWT and SQ are synthesized and verified using Xilinx FPGA technology. It operates up to 30MHz, and executes algorithms of wavelet transform and quantization for VGA 10 frame per second.

키워드

참고문헌

  1. ISO/IEC 15444-1, 'Information technology-JPEG2000 image coding system-Part 1: Core coding system', 2000
  2. Charilaos Christopoulos, 'The JPEG2000 Still Image Coding System: An Overview', IEEE Transactions on Consumer Electornics, Vol. 46, No. 4, pp. 1103-1127, November 2000 https://doi.org/10.1109/30.920468
  3. Gilbert Strang/Truong, 'Wavelet and Filter Bank', Wellesley-Cambridge Press, 1996
  4. D. Le Gall, A.Tabatabai, 'Subband Coding of Digital Images Using Symmetric Short Kernel Filters and Arithmetic Coding Techniques', Proc. IEEE Int. Conf. ASSP, NY, pp. 761-765, 1988 https://doi.org/10.1109/ICASSP.1988.196696
  5. M. D. Adams, F. Kossentini, 'Reversible Integer-To-Integer Wavelet Transforms For Image Compression: Performance And Analysis', IEEE Trans. Image Processing, Vol. 9, No. 6, pp. 1010-1024, June 2000 https://doi.org/10.1109/83.846244
  6. A. R. Calderbank, I. Daubechies, W. Sweldens, B. L. Yeo, 'Lossless Image Compression Using Integer to Integer Wavelet Transforms', Proc. IEEE Int. Conf. Image Processing, Santa Barbara, USA, Oct. 1997 https://doi.org/10.1109/ICIP.1997.647983
  7. IEEE Trans. Image Processing v.9 no.6 Reversible Integer-To-Integer Wavelet Transforms For Image Compression: Performance And Analysis M.D.Adams;F.Kossentini https://doi.org/10.1109/83.846244
  8. Proc. IEEE Int. Conf. Image Processing Lossless Image Compression Using Integer to Integer Wavelet Transforms A.R.Calderbank;I.Daubechies;W.Sweldens;B.L.Yeo