Edge-preserving smoothing of high-resolution images with a partial multifractal reconstruction scheme

Abstract : The new generation of satellites leads to the arrival of very high-resolution images which offer a new quality of detailed information about the Earth's surface. However, the exploitation of such data becomes more complicated and less efficient as a consequence of the great heterogeneity of the objects displayed. In this paper, we address the problem of edge-preserving smoothing of high-resolution satellite images. We introduce a novel approach as a preprocessing step for feature extraction and/or image segmentation. The method is derived from the multifractal formalism proposed for image compression. This process consists in smoothing heterogeneous areas while preserving the main edges of the image. It is performed in 2 steps: 1) a multifractal decomposition scheme allows to extract the most informative subset of the image, which consists essentially in the edges of the objects; 2) a propagation scheme performed over this subset allows to reconstruct an approximation of the original image with a more uniform distribution of luminance. The strategy we adopt is described in the following and some results are presented for Spot acquisitions with spatial resolution of 20 x 20 m2.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/inria-00609988
Contributor : Nathalie Gaudechoux <>
Submitted on : Tuesday, October 4, 2011 - 1:42:52 PM
Last modification on : Wednesday, November 14, 2018 - 1:54:07 PM
Long-term archiving on : Thursday, January 5, 2012 - 2:20:21 AM

File

article_isprs04_preseg.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00609988, version 1

Collections

Citation

Jacopo Grazzini, Antonio Turiel, Hussein Yahia, Isabelle Herlin. Edge-preserving smoothing of high-resolution images with a partial multifractal reconstruction scheme. ISPRS 2004 - Proceedings of the International Society for Photogrammetry and Remote Sensing, Jul 2004, Istanbul, Turkey. pp.1125-1129. ⟨inria-00609988⟩

Share

Metrics

Record views

300

Files downloads

286