salienShrink: Saliency-Based Wavelet Shrinkage

Rapantzikos, K; Avrithis, Y; Kollias, S

dc.contributor.author	Rapantzikos, K	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:50:59Z
dc.date.available	2014-03-01T02:50:59Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35274
dc.subject	image denoising	en
dc.subject	Indexing Terms	en
dc.subject	Visual Quality	en
dc.subject	Wavelet Shrinkage	en
dc.subject	Wavelet Transform	en
dc.title	salienShrink: Saliency-Based Wavelet Shrinkage	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2007.4378952	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2007.4378952	en
heal.publicationDate	2007	en
heal.abstract	This paper describes salienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorithms. By salient, we refer to those coefficients that correspond mostly to pure signal and should therefore be preserved throughout the denoising procedure. We use a computationally efficient model to detect salient	en
heal.journalName	Image Processing, IEEE International Conference	en
dc.identifier.doi	10.1109/ICIP.2007.4378952	en