Title :
The Modified Bidimensional Empirical Mode Decomposition for Image Denoising
Author :
Shen, Minfen ; Tang, Hongrong ; Li, Bin
Author_Institution :
Coll. of Eng., Shantou Univ., Guangdong
Abstract :
In this paper, a method is proposed which uses the periodic compactly supported radial basis function (PCSRBF) to improve the bidimensional empirical mode decomposition (BEMD). PCSRBF not only has the fine interpolation and suppresses the boundary effect, but also has low computation cost. Experiments indicate that the method in this paper can gain better decompositions for BEMD
Keywords :
image denoising; interpolation; radial basis function networks; bidimensional empirical mode decomposition; boundary effect suppression; image denoising; interpolation; periodic compactly supported radial basis function; Computational efficiency; Data engineering; Data mining; Distributed computing; Educational institutions; Image denoising; Interpolation; Pollution; Scattering; Signal analysis;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346132
