Fractional-order diffusion for image reconstruction - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

Fractional-order diffusion for image reconstruction

Résumé

In this paper, a general framework based on fractional-order partial differential equations allows to solve image reconstruction problems. The algorithm presented in this work combines two previous notions: a fractional derivative implementation by Discrete Fourier Transform and the edge detection by topological gradient. The purpose of the paper is to extend some existing results in image denoising problem with fractional-order diffusion equations and presents new results in image inpainting. The results emphasize the importance of particular fractional-orders.
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Dates et versions

hal-01259072 , version 1 (19-01-2016)

Identifiants

Citer

Stanislas Larnier, Roberto Mecca. Fractional-order diffusion for image reconstruction. ICASSP 2012: 37th International Conference on Acoustics, Speech and Signal Processing,, Mar 2012, Kyoto, Japan. pp.1057 - 1060, ⟨10.1109/ICASSP.2012.6288068⟩. ⟨hal-01259072⟩
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