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	2014-03-01T02:50:52Z
dc.date.available	2014-03-01T02:50:52Z
dc.date.issued	2006	en
dc.identifier.issn	15224880	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35173
dc.subject	Image denoising	en
dc.subject	Saliency detection	en
dc.subject	Wavelet shrinkage	en
dc.subject.other	Computationally efficient models	en
dc.subject.other	De noises	en
dc.subject.other	Denoising	en
dc.subject.other	Denoising algorithms	en
dc.subject.other	Image denoising	en
dc.subject.other	Multiresolution wavelet transforms	en
dc.subject.other	Noise levels	en
dc.subject.other	Saliency detection	en
dc.subject.other	Salient regions	en
dc.subject.other	Visual qualities	en
dc.subject.other	Wavelet domains	en
dc.subject.other	Wavelet shrinkage	en
dc.subject.other	Conformal mapping	en
dc.subject.other	Digital image storage	en
dc.subject.other	Image enhancement	en
dc.subject.other	Imaging systems	en
dc.subject.other	Shrinkage	en
dc.subject.other	Wavelet transforms	en
dc.subject.other	Image processing	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.identifier.secondary	4378952	en
heal.publicationDate	2006	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 regions in the bands of the multiresolution wavelet transform. These regions are used to obtain a more accurate estimate of the noise level, improving the performance of existing well known shrinkage methods. Extensive experimental results on the BiShrink method show that the proposed method effectively enhances PSNR and improves the visual quality of the denoised images. © 2007 IEEE.	en
heal.journalName	Proceedings - International Conference on Image Processing, ICIP	en
dc.identifier.doi	10.1109/ICIP.2007.4378952	en
dc.identifier.volume	1	en
dc.identifier.spage	I305	en
dc.identifier.epage	I308	en