Earticle

초록

영어

As the digital information must be stored and recovered in an effective ways, it is necessary to compress data in image coding, wavelet transform and lattice vector quantization are adopted in this paper to improve the compression effective of image coding. We first propose the two dimensional spatial wavelet decomposition of image, and then we present lattice Vector Quantization coding scheme for each image subband, lattice vector quantization can make full use of the correlation between the image wavelet coefficients to remove the information redundancy, and the coding method of lattice quantization can be effective because of applying the symmetries of the lattice. The establishment of rate distortion (RD) model suitable for lattice vector quantization of wavelet image coder is also important for image compression, study shows that the RD performance for the spatial subbands are fitted by an exponential form theoretical model, this yields an analytical solution to the bit rate distribution issue, we explore an effective rate control scheme by using the lagrangian optimization method to distribute the bit rate for the spatial subbands. The experimental results show that the proposed algorithm can achieve better compressing effect with minimum loss.

목차

Abstract
 1. Introduction
 2. Wavelet Decomposition of Image
 3. Wavelet Based Image Coding using Lattice Vector Quantization
  3.1. Wavelet Based Image Coding with Vector Quantization
  3.2. Lattice Vector Quantization
  3.3. Lattice Vector Quantization Codebook Design
 4. RD Performance for Single Subband
  4.1. Bit Rate Estimation for Single Subband
  4.2. The Distortion Estimation for a Single Subband
  4.3. RD Performance for a Single Subband
 5. Rate Control for the Image Coder
  5.1. The Description of Rate Control Problem
  5.2. The Proposed Rate Control Algorithm
 6. Experimental Results
 7. Conclusions
 Acknowledgements
 References

키워드

저자

• Lizhi Zhang [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Mingrui Zhang [ College of Science, Harbin Engineering University, Harbin, 150001, China ]
• Qinghe Pan1 [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Tao Wang [ Network and Educational Technology Center, Harbin University of Commerce, Harbin, 150028, China ]
• Zhijie Zhao [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]
• Xuesong Jin [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605