An adaptive multiresolution-based multispectral image compression method

  • Authors:
  • Jonathan Delcourt;Alamin Mansouri;Tadeusz Sliwa;Yvon Voisin

  • Affiliations:
  • Laboratoire Le2i, Auxerre Cedex, France;Laboratoire Le2i, Auxerre Cedex, France;Laboratoire Le2i, Auxerre Cedex, France;Laboratoire Le2i, Auxerre Cedex, France

  • Venue:
  • ICISP'10 Proceedings of the 4th international conference on Image and signal processing
  • Year:
  • 2010

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Abstract

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.