TY - GEN
T1 - A fast scheme for multiscale signal denoising
AU - Bruni, Vittoria
AU - Piccoli, Benedetto
AU - Vitulano, Domenico
PY - 2008
Y1 - 2008
N2 - This paper exploits the time scale structure of the wavelet coefficients for implementing a novel and fast scheme for signal and image denoising. The time scale behavior of the coefficients is rigorously modeled through superposition of simple atoms using suitable projection spaces. This result allows us to avoid expensive numerical schemes requiring a low computational effort. Extensive experimental results show the competitive performances of the proposed approach.
AB - This paper exploits the time scale structure of the wavelet coefficients for implementing a novel and fast scheme for signal and image denoising. The time scale behavior of the coefficients is rigorously modeled through superposition of simple atoms using suitable projection spaces. This result allows us to avoid expensive numerical schemes requiring a low computational effort. Extensive experimental results show the competitive performances of the proposed approach.
KW - Image and signal denoising
KW - Modulus maxima representation
KW - Time frequency atoms
KW - Time scale trajectories
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=47749133847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47749133847&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69812-8_3
DO - 10.1007/978-3-540-69812-8_3
M3 - Conference contribution
AN - SCOPUS:47749133847
SN - 3540698116
SN - 9783540698111
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 23
EP - 32
BT - Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings
T2 - 5th International Conference on Image Analysis and Recognition, ICIAR 2008
Y2 - 25 June 2008 through 27 June 2008
ER -