DocumentCode :
2636399
Title :
Artifact free image denoising with Morlet integrated wavelets
Author :
Heinlein, Peter
Author_Institution :
Image Diagnost GmbH, Neufahrn, Germany
fYear :
2004
fDate :
15-18 April 2004
Firstpage :
1179
Abstract :
We propose application of the Morlet reconstruction to eliminate artifacts as they are introduced by standard wavelet denoising algorithms. Our algorithm generates less correlated results than DWT or dyadic wavelet transform based schemes. The quality is measured by the autocorrelation of the reconstructed signal. We find the results better suited for further processing by algorithms that rely on statistical features, as for example in the problem of mass detection in digital mammograms.
Keywords :
image denoising; image reconstruction; mammography; medical image processing; wavelet transforms; Morlet integrated wavelet; Morlet reconstruction; artifact free image denoising; autocorrelation; digital mammogram; dyadic wavelet transform; mass detection; reconstructed signal; statistical feature; wavelet denoising algorithm; Autocorrelation; Continuous wavelet transforms; Discrete wavelet transforms; Image denoising; Image reconstruction; Noise reduction; Statistics; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
Type :
conf
DOI :
10.1109/ISBI.2004.1398754
Filename :
1398754
Link To Document :
بازگشت