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논문검색

An Adaptive Multiresolution-Based Multispectral Image Compression Method

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

저자정보

  • 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

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