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Research Journal of Engineering and Technology
ISSN: 2321-581X(Online), 0976-2973(Print)
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A Comparative Analysis of Thresholding Techniques for Denoising of MRI Image Using Wavelets
Shashikant Agrawal1 and Yogesh Bahendwar2
1Electronics and Telecomm. Engg. Chhatrapati Shivaji Institute of Technology, Shivaji Nagar, Balod Road, Durg - 491001,Chhattisgarh
2Department of Electronics and Telecommunication, SSEC, Bhilai, (C.G), 490020
The image de-noising naturally corrupted by noise is a classical problem in the field of signal or image processing. Additive random noise can easily be removed using simple threshold methods. 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 Discrete Wavelet Transform (DWT).Numerical results show that the algorithm can obtained higher peak signal to noise ratio (PSNR) through wavelet based denoising algorithm for MR images corrupted with random noise.
Image Processing, Denoising, DWT, MRI, Thresholding, Random Noise. PSNR, MSE and MAE.
Shashikant Agrawal, Yogesh Bahendwar. A Comparative Analysis of Thresholding Techniques for Denoising of MRI Image Using Wavelets. Research J. Engineering and Tech. 3(1): Jan.-Mar. 2012 page 34-37.
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