Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform

Details Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform

2011-03-25

arxiv.org/abs/1103.4907v1

Computer Science

Other Computer Science

7 pages, 6 figures,Advanced Computing: An International Journal (ACIJ) ISSN: 2229 - 6727 [Online]; 2229 - 726X [Print]

Scientific paper

10.5121/acij.2011.2205

Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). This paper proposes a medical image denoising algorithm using contourlet transform. Numerical results show that the proposed algorithm can obtained higher peak signal to noise ratio (PSNR) than wavelet based denoising algorithms using MR Images in the presence of AWGN.

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