Title :
Artifact free image denoising with Morlet integrated wavelets
Author_Institution :
Image Diagnost GmbH, Neufahrn, Germany
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;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398754