Spatially adaptive PDEs for robust image sharpening

Abstract : We present here discrete and continuous partial differential equation (PDE) -based methods for image enhancement/ sharpening. Using more robust and spatially adaptive PDEs, multiscale morphological operators that account image features are introduced, and then, used to provide a discrete enhancement operator, thanks to the former Kramer and Bruckner filter. A novel PDE associated to the introduced enhancement operator is established in 2D. Both the discrete and PDE-based sharpening filters are illustrated on synthetic, binary and real images.
Type de document :
Communication dans un congrès
19th IEEE International Conference on Image Processing (ICIP), Sep 2012, Lake Buena Vista, United States. IEEE, pp.949-952, 2012, 〈10.1109/ICIP.2012.6467018〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00834439
Contributeur : Doriane Ibarra <>
Soumis le : samedi 15 juin 2013 - 09:40:25
Dernière modification le : mardi 12 septembre 2017 - 11:41:15

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El Hadji Samba Diop, Jesus Angulo. Spatially adaptive PDEs for robust image sharpening. 19th IEEE International Conference on Image Processing (ICIP), Sep 2012, Lake Buena Vista, United States. IEEE, pp.949-952, 2012, 〈10.1109/ICIP.2012.6467018〉. 〈hal-00834439〉

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