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Adaptive edge-preserving denoising by point-wise wavelet basis selection (CROSBI ID 245501)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Tomić, Mladen ; Seršić, Damir Adaptive edge-preserving denoising by point-wise wavelet basis selection // IET signal processing, 6 (2012), 1; 1-7. doi: 10.1049/iet-spr.2010.0240

Podaci o odgovornosti

Tomić, Mladen ; Seršić, Damir

engleski

Adaptive edge-preserving denoising by point-wise wavelet basis selection

Wavelet transforms found widespread application in signal denoising. Many adaptive algorithms were proposed to improve their performance, especially about edges in a signal. In this paper, we propose a novel denoising method based on adaptive edge-preserving lifting scheme – ICI-EPL. By incorporating the statistical method of intersection of confidence intervals rule into the lifting scheme, we are able to select the most appropriate wavelet on a point-by-point basis. The resulting transform adapts very well to local signal properties and significantly improves denoising performance. Simulations on various signal classes show that the ICI-EPL in most cases easily outperforms other considered transforms, with the greatest improvement being about edges in a signal. Achieved results bring confidence that the ICI-EPL can be used to improve performance in a variety of denoising applications.

adaptive lifting scheme ; adaptive wavelet transform ; ICI rule ; signal denoising ; edge-preserving denoising

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Podaci o izdanju

6 (1)

2012.

1-7

objavljeno

1751-9675

1751-9683

10.1049/iet-spr.2010.0240

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice
Indeksiranost