Earticle

초록

영어

In this paper, a simplified structure of integer lifting wavelet filter banks for lossless image compression is proposed by shifting and merging the scaling factors of the row and the column wavelet transforms. It is implemented by reducing the numbers of scaling factors and considering the scaling lifting. The numbers of scaling factors of the 2-D wavelet transform can be reduced by shifting and merging operation, and then the computing speed can be improved. Furthermore, the scaling lifting of simplified structure can be used to reduce the computing errors and get more accurate results. Experiments show that the simplified integer lifting structure results in lesser computational steps than the standard integer lifting structure and therefore improves the speed of the image compression. Besides, using the new lossless image compression system based on simplified integer lifting wavelet, the lower bit-rates are obtained.

목차

Abstract
 1. Introduction
 2. Integer-to-integer Lifting
 3. Simplified Structure of Integer Lifting Wavelet with Scaling Lifting
  3.1. Simplified Structure of Integer Lifting Wavelet
  3.2. Scaling Lifting for Simplified Structure
  3.3. Simplified Structure of Integer Lifting Wavelet with Scaling Lifting
 4. Experiments
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Yanjuan Li [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, China ]
• Dong Chen [ College of Life Science and Technology, Harbin Institute of Technology, Harbin, China ]
• Honge Ren [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, China ] Corresponding author

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