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A vector-valued image interpolation method based on nonlinear anisotropic diffusion PDE

Yingkun Wang

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Abstract

A model based on a nonlinear anisotropic diffusion PDE for the interpolation of vector-valued images is proposed by applying heat conduction model.Experimental results show that the proposed method both for gray level and for color images have better visual effect.Compared to classic interpolation methods,the proposed method increases the image qualities and reduces the undesirable artifacts,such as blurring,aliasing,ringing.The proposed method can maintain the image edge features and details compared with other existing PDE-based interpolation methods.

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What this paper is about

A model based on a nonlinear anisotropic diffusion PDE for the interpolation of vector-valued images is proposed by applying heat conduction model.Experimental results show that the proposed method both for gray level and for color images have better visual effect.Compared to classic interpolation methods,the proposed method increases the image qualities and reduces the undesirable artifacts,such as blurring,aliasing,ringing.The proposed method can maintain the image edge features and details compared with other existing PDE-based interpolation methods.

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Available abstract

A model based on a nonlinear anisotropic diffusion PDE for the interpolation of vector-valued images is proposed by applying heat conduction model.Experimental results show that the proposed method both for gray level and for color images have better visual effect.Compared to classic interpolation methods,the proposed method increases the image qualities and reduces the undesirable artifacts,such as blurring,aliasing,ringing.The proposed method can maintain the image edge features and details compared with other existing PDE-based interpolation methods.

Key concepts: Anisotropic diffusion, Aliasing, Bilinear interpolation, Interpolation (computer graphics), Computer science, Ringing artifacts, Stairstep interpolation, Nearest-neighbor interpolation

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