Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/8626
Title: Reconstructing images from their most singular fractal manifold
Author: Turiel Martínez, Antonio M.
Pozo, Angela del
Keywords: Fractals
Física estadística
Processament d'imatges
Fractals
Statistical physics
Image processing
Issue Date: 2002
Publisher: IEEE
Abstract: Real-world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A very recent study [1] on the statistical properties of natural images reveals that natural images can be viewed through different partitions which are essentially fractal in nature. One particular fractal component, related to the most singular (sharpest) transitions in the image, seems to be highly informative about the whole scene. In this paper we will show how to decompose the image into their fractal components.We will see that the most singular component is related to (but not coincident with) the edges of the objects present in the scenes. We will propose a new, simple method to reconstruct the image with information contained in that most informative component.We will see that the quality of the reconstruction is strongly dependent on the capability to extract the relevant edges in the determination of the most singular set.We will discuss the results from the perspective of coding, proposing this method as a starting point for future developments.
Note: Reproducció del document publicat a http://dx.doi.org/10.1109/TIP.2002.999668
It is part of: IEEE Transactions on Image Processing, 2002, vol. 11, núm. 4, p. 345-350.
URI: http://hdl.handle.net/2445/8626
ISSN: 1057-7149
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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