The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

Progressive Image Coding using Wavelet Transform

웨이블릿 변환을 이용한 순차적 영상 부호화

  • 김용연 (인천대학교 정보통신과)
  • Received : 2013.11.20
  • Accepted : 2014.01.13
  • Published : 2014.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper we propose new image coding using wavelet transform. The new method constructs hierarchical bit plane and progressively transports each bit plane. The Proposed algorithm not only supports multi-resolution, dividing original image into special band and various resolution using Antonini's wavelet basis function but also reduces blocking effects that come into JPEG. In encoding time this algorithm considers each band characters and priority of transport order, and applies to fast search of image.

본 논문에서는 웨이블릿 변환 특성을 이용한 대역별 계층적 비트 플레인을 구성, 비트 플레인별로 순차적 전송을 수행하는 새로운 영상 부호화 방법을 제안한다. 제안한 방식은 Antonini의 웨이블릿 기저함수를 사용하여 대역 분할된 영상을 특정대역과 다양한 해상도를 갖는 대역들로 나누어 분리함으로써 다해상도를 지원한다. 대역별 특성을 고려한 부호화의 전송 시 대역별 영상의 우선순위를 고려할 수 있고, 영상의 고속 검색에도 응용될 수 있다.

Keywords

References

  1. K. R. Rao and P. Yip, Discrete Cosine Transform Algorithms, Advantages, Applications, Academic Press Inc., New York, 1990, pp. 152-155.
  2. A. Gersho and Robert M. Gray, Vector Quantatization and Signal Compression, Kluwer Academic Publishers, Boston, 1992, pp. 210- 251.
  3. H. O. Peitgen, H. Jurgens and D. Saupe, Chaos and Fractals, Springer Verlag New York, 1991, pp. 137-139.
  4. M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, Prentice-Hall Inc., London, 1995, pp. 252-256.
  5. C.K. Lee and D.I. Kim, "Adaptive noise Reduction of Speech Using Wavelet Tranform", J. of the Korea Institute of Electronic Communication Sciences, vol. 4, no. 3, 2009, pp.190-196.
  6. Y.-H. Han, "A study on motion prediction and subband coding of moving pictures using GRNN", J. of the Korea Institute of Electronic Communication Sciences, vol. 5, no. 3, 2010, pp. 256-261.
  7. A. Cohen, I. Daubechies, and J. C. Feauveau, "Biorthogonal basis of compactly supported wavelets", Comm. Pure Appl. Math., vol. XIV, 1992, pp. 485-560.
  8. P. J. Burt and E. H. Adelson, "The Laplacian pyramid as a compact image code", IEEE Trans. Comm., vol. 31, April 1983, pp. 532-540. https://doi.org/10.1109/TCOM.1983.1095851
  9. S.-H. Lee, "Fast motion estimation with adaptive search range adjustment using motion activities of temporal and spatial neighbor blocks", J. of the Korea Institute of Electronic Communication Sciences, vol. 5, no. 4, pp. 372- 378, 2010.
  10. M. Antonini, M. Barlaud and P. Mathieu, "Image coding using lattice vector quantatization of wavelet coefficients", IEEE ICASSP, 1991, pp. 2273- 2276.
  11. J. M. Shapiro, "Embeded image coding using zerotree of wavelets coefficients", IEEE Trans. Signal Processing, vol. 41, Dec. 1993, pp. 3345-3462.