Reconstructing images from their most singular fractal manifold - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Image Processing Année : 2002

Reconstructing images from their most singular fractal manifold

Angela del Pozo
  • Fonction : Auteur

Résumé

Real-world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A previous 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. We show how to decompose the image into their fractal components. We see that the most singular component is related to (but not coincident with) the edges of the objects present in the scenes. We propose a new, simple method to reconstruct the image with information contained in that most informative component. We 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 discuss the results from the perspective of coding, proposing this method as a starting point for future developments

Dates et versions

inria-00532760 , version 1 (04-11-2010)

Identifiants

Citer

Antonio Turiel, Angela del Pozo. Reconstructing images from their most singular fractal manifold. IEEE Transactions on Image Processing, 2002, 11 (4), pp.345-350. ⟨10.1109/TIP.2002.999668⟩. ⟨inria-00532760⟩

Collections

INRIA INRIA2
79 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More