Wavelet video denoising with regularized multiresolution motion estimation
type: Item
instance of: scholarly article
title: Wavelet video denoising with regularized multiresolution motion estimation
zbMATH Open document ID: 1122.94302
DOI: 10.1155/ASP/2006/72705
author: Fu Jin
author: Lowell Winger
author: Paul W. Fieguth
published in: EURASIP Journal on Applied Signal Processing
publication date: 2007-03-19T00:00:00Z
review text: Summary: This paper develops a new approach to video denoising, in which motion estimation/compensation, temporal filtering, and spatial smoothing are all undertaken in the wavelet domain. The key to making this possible is the use of a shift-invariant, overcomplete wavelet transform, which allows motion between image frames to be manifested as an equivalent motion of coefficients in the wavelet domain. Our focus is on minimizing spatial blurring, restricting to temporal filtering when motion estimates are reliable, and spatially shrinking only insignificant coefficients when the motion is unreliable. Tests on standard video sequences show that our results yield comparable PSNR to the state of the art in the literature, but with considerably improved preservation of fine spatial details.
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 5134670
Wikidata QID: Q59212716
MaRDI profile type: Publication
cites work: Q3679095
full work available at URL: https://doi.org/10.1155/asp/2006/72705
OpenAlex ID: W2016272839
DBLP publication ID: journals/ejasp/JinFW06
description: scientific article; zbMATH DE number 5134670