The characteristics of non-subsampled Contourlet transform (NSCT) and total variation (TV)modeling are analyzed. A mixed model of NSCT and TV is applied to medical image denoising in this paper.NSCT filter-based decomposition of noisy medical images is performed. An initial denoised image is produced using a Visu shrink threshold algorithm. The final denoised image is obtained by processing the initial denoised image with the TV model. Experimental results show that the image details are well preserved by using the proposed method. Both peak signal-to-noise ratio (PSNR) and visual quality are superior to some other denoising algorithms.
MA Xiu-li1,2, ZHOU Feng1,2, ZHOU Xiao-jun1,2
. Medical Image Denoising Using Non-subsampled Contourlet Transform and Total Variation Model[J]. Journal of Applied Sciences, 2014
, 32(5)
: 481
-485
.
DOI: 10.3969/j.issn.0255-8297.2014.05.008
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