Image Interpolation

Authored by: Li Xin

Encyclopedia of Image Processing

Print publication date:  November  2018
Online publication date:  November  2018

Print ISBN: 9781482244908
eBook ISBN: 9781351032742
Adobe ISBN:

10.1201/9781351032742-140000467

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Abstract

Image interpolation refers to computational approaches of obtaining high-resolution images from their low-resolution representation. It is closely related to the field of single-image super-resolution and image upsampling. This chapter reviews and compares two classes of image interpolation methods: model based versus learning based. It highlights the most recent advances in both categories and contains some experimental comparison on the same benchmark data set.

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