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. © Springer-Verlag Berlin Heidelberg 2010.
Cite
CITATION STYLE
Delcourt, J., Mansouri, A., Sliwa, T., & Voisin, Y. (2010). An adaptive multiresolution-based multispectral image compression method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6134 LNCS, pp. 54–63). https://doi.org/10.1007/978-3-642-13681-8_7
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