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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.
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Submitted on : Saturday, June 15, 2013 - 9:40:25 AM
Last modification on : Thursday, September 24, 2020 - 4:38:03 PM

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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. pp.949-952, ⟨10.1109/ICIP.2012.6467018⟩. ⟨hal-00834439⟩

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