Paper Info
Title
Reducing noise in high-resolution video sequences by using wavelet shrinkage in the temporal-spatial domain.
Abstract
A novel method for reducing video noise by using wavelet shrinkage in the temporal-spatial domain was devised and evaluated. In a temporal-spatial wavelet transform, static areas in a picture appear in a temporal low-frequency sub-band. In regards to this sub-band, the wavelet shrinkage can use a high threshold value in a shrinkage function and attains good noise-reduction performance. On the other hand, moving areas in a picture appear at the temporal high-frequency sub-band in a wavelet transform. In this sub-band, the wavelet shrinkage can not use a high threshold value, so a combined algorithm with a spatial-median filter is used. The noise-reduction performance of the proposed method was confirmed by a subjective evaluation, which showed that the quality of the noise-reduced images produced by the devised method is superior to that produced by traditional noise-reduction methods.
Year
DOI
Venue
2009
10.1109/PCS.2009.5167403
Chicago, IL
Keywords
Field
DocType
noise-reduction performance,novel method,traditional noise-reduction method,wavelet shrinkage,shrinkage function,attains good noise-reduction performance,temporal-spatial domain,high threshold value,temporal high-frequency sub-band,temporal low-frequency sub-band,high-resolution video sequence,high frequency,noise,frequency,noise reduction,wavelet transform,image resolution,median filter,degradation,high resolution,wavelet transforms,low frequency,low frequency noise
Computer vision,Lifting scheme,Computer science,Fast wavelet transform,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet
Conference
ISBN
Citations 
PageRank 
978-1-4244-4594-3
2
0.43
References 
Authors
7
4
Name
Order
Citations
PageRank
Yasutaka Matsuo11710.07
Yukikiro Nishida220.43
Seiichi Gohshi37118.16
Shinichi Sakaida4369.21