This chapter reviews an overture of classical image interpolation methods based on convolution. In the case of image up‐sampling, all newly added samples are interleaving within the original data and will never be out of the boundary of the original image, while the original data has to be preserved; hence, image up‐sampling is also called image interpolation. Bilinear interpolation is another well‐received interpolation technique because of its simplicity while it applies a better low‐pass filtering operation in the reconstruction that reduces the awkward jaggy artifact as perceived in the nearest neighbor interpolation. Bicubic interpolation improves the bilinear interpolation by using a bigger interpolation kernel. Affine transformation of an object is the general form of all geometric transformations, which is the operation of series of geometric transformation, including translation, rotation, and scaling. Affine transformation is a particular form of the geometric transformation.
Nonadaptive Interpolation
2019-02-19
32 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Beyond Interpolation: Optimal Reconstruction by Quasi-Interpolation
British Library Conference Proceedings | 2005
|Mehrdimensionale Interpolation
TIBKAT | 1977
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