Wavelet-Based methods for improving signal-to-noise ratio in phase images
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Wavelet-based Rician noise removal for magnetic resonance imaging
IEEE Transactions on Image Processing
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The paper deals with techniques for the enhancement of magnetic resonance (MR) images using the wavelet analysis, which is assessed from the viewpoint of choosing the mother wavelet and the thresholding technique. Three parameters are used as objective criteria of the quality of image enhancement: the signal-to-noise ratio (SNR), image contrast, and linear approximation of edge steepness. Unlike most of the standard methods, which work exclusively with image magnitude, we also examined the influence of image phase, i.e. the image is processed as a complex signal. In addition to the interpretation of results, a short summary is given that deals with the choice of the optimal mother wavelet and thresholding technique for different types of MR images.