Reversible Interpolation of Vectorial Images by an Anisotropic Diffusion-Projection PDE |
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Authors: | Anastasios Roussos Petros Maragos |
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Affiliation: | (1) School of ECE, National Technical University of Athens, 15773 Athens, Greece |
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Abstract: | In this paper, a nonlinear model for the interpolation of vector-valued images is proposed. This model is based on an anisotropic
diffusion PDE and performs an interpolation that is reversible. The interpolation solution is restricted to the subspace of
functions that can recover the discrete input image, after an appropriate smoothing and sampling. The proposed nonlinear diffusion
flow lies on this subspace while its strength and anisotropy adapt to the local variations and geometry of image structures.
The derived method effectively reconstructs the real image structures and yields a satisfactory interpolation result. Compared
to classic and other existing PDE-based interpolation methods, our proposed method seems to increase the accuracy of the result
and to reduce the undesirable artifacts, such as blurring, ringing, block effects and edge distortion. We present extensive
experimental results that demonstrate the potential of the method as applied to graylevel and color images.
The authors acknowledge the financial support of the Future and Emerging Technologies (FET) programme ‘ASPI’ within the Sixth
Framework Programme for Research of the European Commission, under FET-Open contract No. 021324. |
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Keywords: | Partial differential equations (PDEs) Nonlinear anisotropic diffusion Diffusion-projection PDE Image interpolation Vector-valued images Reversibility Sampling Anti-aliasing filter |
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