Reconstruction of irregularly-sampled images by regularization in spline spaces

被引：0

作者：

Vázquez, C ^{[1
]}

Dubois, E ^{[1
]}

Konrad, J ^{[1
]}

机构：

[1] Inst Natl Rech Sci, INRS Telecommun, Montreal, PQ H5A 1C6, Canada

来源：

2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline representation of the image. An objective function taking into account the similarity to the known samples and the regularity of the function is minimized in order to obtain a good approximation. We apply the developed algorithm to motion-compensated image interpolation. Under motion compensation, the resulting sampling grids are irregular and require the irregular/regular interpolation. We show experimental results on real-world images and we compare our results with other methods proposed in the literature.

引用

页码：405 / 408

页数：4

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