Earticle

초록

영어

In this paper, an image compression scheme is proposed, based on discrete cosine transform (DCT). This scheme is a hybrid method, which combines vector quantization (VQ) and differential pulse code modulation (DPCM). This scheme begins with transforming image from spatial domain to frequency domain using DCT. Then the block data is transformed into a vector according to zigzag order, and then truncated. After that, the vector is split into DC coefficient and AC coefficients. After scale quantization, DC coefficient is coded using DPCM. AC coefficients are coded using multistage vector quantization (MSVQ). Then, entropy encoding is performed on index-tables and DC part, separately. The experimental results show that, compared to conventional VQ and DCT-VQ schemes, proposed scheme has a better performance.

목차

Abstract
 1. Introduction
 2. DCT and Improvements of VQ
  2.1. DCT
  2.2. Improvements of VQ
 3. Proposed Algorithm
  3.1. MSVQ
  3.2. DCT-MSVQ Scheme
 4. Experimental Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Xiao Zhou [ School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China ]
• Yunhao Bai [ School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China ]
• Chengyou Wang [ School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605