Earticle

초록

영어

This paper deals with the problem of multispectral image compression. In particular, we propose to substitute the built-in JPEG 2000 wavelet transform by an adequate multiresolution analysis that we devise within the Lifting-Scheme framework. We compare the proposed method to the classical wavelet transform within both multi-2D and full-3D compression strategies. The two strategies are combined with a PCA decorrelation stage to optimize their performance. For a consistent evaluation, we use a framework gathering four families of metrics including the largely used PSNR. Good results have been obtained showing the appropriateness of the proposed approach especially for images with large dimensions.

목차

Abstract
 1. Introduction
 2. Proposed multiresolution analysis
 3. Experiments and results
  3.1. Data and experiments
  3.2. Compression evaluation frameworks
  3.3. Results and discussion
 4. Conclusion
 References

키워드

저자

• Jonathan Delcourt [ Laboratoire Le2i, BP 16 Route des Plaines de l'Yonne ]
• Alamin Mansouri [ Laboratoire Le2i, BP 16 Route des Plaines de l'Yonne ]
• Tadeusz Sliwa [ Laboratoire Le2i, BP 16 Route des Plaines de l'Yonne ]
• Yvon Voisin [ Laboratoire Le2i, BP 16 Route des Plaines de l'Yonne ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605