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
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