Resolution enhancement and sampling with wavelets and footprints

被引：0
|
作者：
Dragotti, PL [1 ]
Vetterli, M [1 ]
机构：
[1] Univ London Imperial Coll Sci Technol & Med, London SW7 2BT, England
来源：
WAVELETS: APPLICATIONS IN SIGNAL AND IMAGE PROCESSING X, PTS 1 AND 2 | 2003年 / 5207卷
关键词：
D O I：
10.1117/12.504724
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, we consider classes of not bandlimited signals, namely, streams of Diracs and piecewise polynomial signals, and show that these signals can be sampled and perfectly reconstructed using wavelets as sampling kernel. Due to the multiresolution structure of the wavelet transform, these new sampling theorems naturally lead to the development of a new resolution enhancement algorithm based on wavelet footprints.(2) Preliminary results show that this algorithm is also very resilient to noise.
引用
收藏
页码：59 / 68
页数：10
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