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Pregled bibliografske jedinice broj: 912312

Časopis

Autori: Tomić, Mladen; Seršić, Damir
Naslov: Adaptive edge-preserving denoising by point-wise wavelet basis selection
( Adaptive edge-preserving denoising by point-wise wavelet basis selection )
Izvornik: IET signal processing (1751-9675) 6 (2012), 1; 1-7
Vrsta rada: članak
Ključne riječi: adaptive lifting scheme ; adaptive wavelet transform ; ICI rule ; signal denoising ; edge-preserving denoising
( adaptive lifting scheme ; adaptive wavelet transform ; ICI rule ; signal denoising ; edge-preserving denoising )
Sažetak:
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.
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo
Broj citata:
Altmetric:
DOI: 10.1049/iet-spr.2010.0240
URL cjelovitog teksta:
Google Scholar: Adaptive edge-preserving denoising by point-wise wavelet basis selection
Upisao u CROSBI: Mladen Tomić (Mladen.Tomic@riteh.hr), 13. Pro. 2017. u 11:07 sati



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