Locally adaptive wavelet-based image interpolation

被引：69
作者：
Chang, S. Grace [1 ]
Cvetkovic, Zoran
Vetterli, Martin
机构：
[1] Hewlett Packard Taiwan Ltd, Taipei 110, Taiwan
[2] Harvard Univ, Div Engn & Appl Sci, Cambridge, MA 02138 USA
[3] Ecole Polytech Fed Lausanne, Sch Comp & Commun Sci, CH-1015 Lausanne, Switzerland
[4] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 06期
基金：
美国国家科学基金会;
关键词：
image interpolation; locally adaptive; nonlinear interpolation; wavelet;
D O I：
10.1109/TIP.2006.871162
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We describe a spatially adaptive algorithm for image interpolation. The algorithm uses a wavelet transform to extract information about sharp variations in the low-resolution image and then implicitly applies interpolation which adapts to the image local smoothness/singularity characteristics. The proposed algorithm yields images that are sharper compared to several other methods that we have considered in this paper. Better performance comes at the expense of higher complexity.
引用
收藏
页码：1471 / 1485
页数：15
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