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PDE-based Image Interpolators  

Cha, Young-Joon (Department of Applied Mathematics, Sejong University)
Kim, Seong-Jai (Department of Mathematics and Statistics, Mississippi State University)
Abstract
This article presents a PDE-based interpolation algorithm to effectively reproduce high resolution imagery. Conventional PDE-based interpolation methods can produce sharp edges without checkerboard effects; however, they are not interpolators but approximators and tend to weaken fine structures. In order to overcome the drawback, a texture enhancement method is suggested as a post-process of PDE-based interpolation methods. The new method rectifies the image by simply incorporating the bilinear interpolation of the weakened texture components and therefore makes the resulting algorithm an interpolator. It has been numerically verified that the new algorithm, called the PDE-based image interpolator (PII), restores sharp edges and enhances texture components satisfactorily. PII outperforms the PDE-based skeleton-texture decomposition (STD) approach. Various numerical examples are shown to verify the claim.
Keywords
Interpolator; Approximator; Image Blur; Texture Enhancement; Skeleton-Texture Decomposition (STD);
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