Title :
A tree of median pyramidal decompositions with an application to signal denoising
Author :
Melnik, V. ; Egiazarian, K. ; Shmulevich, I. ; Kuosmanen, P.
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
We propose to generate a library of median pyramidal decompositions organized as a tree. It is shown that the best decomposition on this tree can be chosen using the techniques developed in wavelet theory. Based on the tree of decompositions, a denoising algorithm is introduced. Numerical simulations have shown that the proposed algorithm is more effective for signal denoising than the method based on the traditional median pyramidal transform
Keywords :
noise; signal reconstruction; transforms; trees (mathematics); wavelet transforms; denoising algorithm; library; median pyramidal decompositions; median pyramidal reconstruction algorithms; median pyramidal transform; numerical simulations; signal denoising; tree decomposition; wavelet theory; Digital signal processing; Laboratories; Noise reduction; Nonlinear filters; Numerical simulation; Signal denoising; Signal generators; Signal processing algorithms; Smoothing methods; Software libraries;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861879
