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Structure and texture compression

Jean-François Aujol 1 Basarab Matei
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper, we tackle the problem of image compression. During the last past years, many algorithms have been proposed to take advantage of the geometry of the image. We intend here to propose a new compression algorithm which would take into account the structures in the image, and which would be powerful even when the original image has some textured areas. To this end, we first split our image into two components, a first one containing the structures of the image, and a second one the oscillating patterns. We then perform the compression of each component separately. Our final compressed image is the sum of these two compressed components. This new compression algorithm outperforms the standard biorthogonal wavelets compession.
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Submitted on : Tuesday, May 23, 2006 - 5:48:06 PM
Last modification on : Friday, February 4, 2022 - 3:19:18 AM
Long-term archiving on: : Sunday, April 4, 2010 - 10:20:45 PM


  • HAL Id : inria-00071507, version 1



Jean-François Aujol, Basarab Matei. Structure and texture compression. RR-5076, INRIA. 2004. ⟨inria-00071507⟩



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