Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Wavelet Video Denoising with Regularized Multiresolution Motion Estimation | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article iD 72705 Pages 1-11 DOI ASP 2006 72705 Wavelet Video Denoising with Regularized Multiresolution Motion Estimation Fu Jin Paul Fieguth and Lowell Winger Department of Systems Design Engineering Faculty of Engineering University of Waterloo Waterloo ON Canada N2L 3G1 Received 1 September 2004 Revised 23 June 2005 Accepted 30 June 2005 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. Copyright 2006 Fu Jin et al . This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION With the maturity of digital video capturing devices and broadband transmission networks many video applications have been emerging such as teleconferencing remote surveillance multimedia services and digital television. However the video signal is almost always corrupted by noise from the capturing devices or during transmission due to random thermal or other electronic noises. Usually noise reduction can considerably improve visual quality and facilitate the subsequent processing tasks such as video compression. .
