Enhancement by image-dependent warping

被引:30
作者
Arad, N [1 ]
Gotsman, C
机构
[1] Ordotech Ltd, IL-81102 Yavne, Israel
[2] Technion Israel Inst Technol, Dept Comp Sci, IL-3200 Haifa, Israel
[3] Hewlett Packard Israel Sci Ctr, IL-32000 Haifa, Israel
关键词
enhancement; image warping; variational surface fitting;
D O I
10.1109/83.777087
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
All image warping algorithms to date are image-independent, namely, relate only to the geometry of the image plane, ignoring the content of the image, We show that taking the image content into account yields elaborate warping schemes which may be used to enhance, sharpen and scale images. Sharpening the image is achieved by "squashing" the pixels in edge areas, and "stretching" the pixels in flat areas. Since image pixels are only moved, not modified, some drawbacks of classical linear filtering methods are avoided. We also lay the mathematical foundation for the use of an image-dependent warping scheme in traditional warping applications, such as distortion minimization.
引用
收藏
页码:1063 / 1074
页数:12
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