基于小波变换的磁共振图像去噪

Noise Reduction of Magnetic Resonance Images Based on Wavelet Transform: A Review

去噪是图像处理中的一个非常重要的问题.传统去噪方法在降低噪声的同时会模糊图像的细节,基于小波变换的图像去噪方法能在降低图像噪声的同时较好地保持图像的细节,目前基于小波变换对图像进行去噪已经成为最有前途的去噪方法之一.本文综合小波域去噪的文献,对小波域的磁共振图像去噪方法进行了综述,详细介绍了各种小波域的磁共振图像去噪方法,并对他们的性能进行了总结,对小波域去噪方法的发展趋势进行了展望.

Denoising is an important issue in image processing. However, in the classical approaches there is often a tradeoff between reducing the noise level and preserving the high-frequency edges of the image. Denoising with wavelet transform has been acknowledged as one of the most promising methods for image denoising, as the method can not only remove the noise of the image but also preserve the edges of the image. The paper reviews the literature on denoising methods with wavelet transform, with emphasis on MR images denoising with wavelet transform. The future trend of wavelet image denoising is also discussed.