Earticle

초록

영어

The scalable extension to the H.264/AVC has been established as a scalable video coding (SVC) standard, and JPEG2000 is a state of the act still image coding standard. The most distinctive difference between SVC and JPEG2000 is, in terms of spatial-frequency transformation, that SVC is based on the Discrete Cosine Transform (DCT) and JPEG2000 is based on Discrete Wavelet Transform (DWT). JPEG2000 outperforms its predecessor-JPEG which adopts DCT by nearly 30% in terms of compression performance. Despite the DWT has been successfully employed in still image coding, the latest video coding standard keeps on ultilising DCT and the relevant techniques as its coding tools. In this paper, we investigate SVC for intra frame coding and JPEG2000 for still image coding, on video sequences with different resolutions and features. From the experimental evaluations, we attempt to gain deeper insight into the application scenarios of these two transform techniques. The experimental results demonstrate that at high bitrates, JPEG2000 outperforms SVC, and it is vice versa. We also note that the PSNR difference between SVC and JPEG2000 decreases with increasing the picture resolution. Therefore, JPEG2000 is more suited for high definition picture compression. The spatial scalability of SVC and JPEG2000 is also investigated in the evaluation, and the results show that SVC gains quite better performance than JPEG2000.

목차

Abstract
 1. Introduction
 2. DCT in SVC Extension of H.264/AVC
 3. DWT in JPEG2000
 4. Core Coding Tools in SVC Intra-frame Coding
 5. Core Coding Tools in JPEG2000
 6. Experiment Descriptions
 7. Experiment Results and Analysis
 8. Conclusion
 Acknowledgements
 References

키워드

저자

• Xin Lu [ School of Electronics and Information Engineering, Harbin Institute of Technology, China ]
• Xuesong Jin [ School of Computer and Information Engineering, Harbin University of Commerce, 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