Image denoising by combined quincunx and separable wavelet-domain Wiener filtering

被引：0
|
作者：
Vrankic, M [1 ]
Egiazarian, K [1 ]
Gotchev, A [1 ]
机构：
[1] Univ Zagreb, Fac EE, Zagreb 41000, Croatia
来源：
NORSIG 2004: PROCEEDINGS OF THE 6TH NORDIC SIGNAL PROCESSING SYMPOSIUM | 2004年 / 46卷
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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：
In this paper, wavelet shrinkage techniques that make use of wavelets defined on quincunx grid are explored in comparison with techniques involving wavelets defined on separable grid In order to better exploit the advantages of the nonseparable transform and to surpass certain disadvantages of quincunx wavelets, the empirical wavelet-domain Wiener filtering that combines separable and quincunx wavelets is additionally investigated.
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页码：113 / 116
页数：4
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