Title :
A review of wavelet denoising in medical imaging
Author :
Ouahabi, Abdeldjalil
Author_Institution :
Polytech. Tours, Tours Univ., Tours, France
Abstract :
In this tutorial, we review recent wavelet denoising techniques for medical ultrasound and for magnetic resonance images. We evaluate their implementation via MATLAB package and discuss their performances in terms of SNR (signal-to-noise ratio) or PSNR (peak signal-to-noise ratio) and visual aspects of image quality. Image denoising using wavelet-based multiresolution analysis requires a delicate compromise between noise reduction and preserving significant image details. Hence, some subtleties associated with these denoising techniques will be explained in detail.
Keywords :
image denoising; image resolution; magnetic resonance imaging; mathematics computing; medical image processing; ultrasonic imaging; wavelet transforms; Matlab package; image detail; image quality visual aspect; magnetic resonance image; medical ultrasound; noise reduction; peak signal-to-noise ratio; wavelet denoising technique; wavelet-based multiresolution analysis; Conferences; Decision support systems; Signal processing;
Conference_Titel :
Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
Conference_Location :
Algiers
DOI :
10.1109/WoSSPA.2013.6602330