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International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.4, No.6, Jul. 2012

Medical Image Denoising Using Bilateral Filter

Full Text (PDF, 1138KB), PP.36-43


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Author(s)

Devanand Bhonsle,Vivek Chandra,G.R. Sinha

Index Terms

Image denoising, Bilateral filter, AWGN, Medical images

Abstract

Medical image processing is used for the diagnosis of diseases by the physicians or radiologists. Noise is introduced to the medical images due to various factors in medical imaging. Noise corrupts the medical images and the quality of the images degrades. This degradation includes suppression of edges, structural details, blurring boundaries etc. To diagnose diseases edge and details preservation are very important. Medical image denoising can help the physicians to diagnose the diseases. Medical images include MRI, CT scan, x-ray images, ultrasound images etc. In this paper we implemented bilateral filtering for medical image denoising. Its formulation & implementation are easy but the performance of bilateral filter depends upon its parameter. Therefore for obtaining the optimum result parameter must be estimated. We have applied bilateral filtering on medical images which are corrupted by additive white Gaussian noise with different values of variances. It is a nonlinear and local technique that preserves the features while smoothing the images. It removes the additive white Gaussian noise effectively but its performance is poor in removing salt and pepper noise.

Cite This Paper

Devanand Bhonsle,Vivek Chandra,G.R. Sinha,"Medical Image Denoising Using Bilateral Filter", IJIGSP, vol.4, no.6, pp.36-43, 2012.

Reference

[1]Sudipta Roy, Nidhi Sinha, Asoke K. Sen. A New Hybrid Image Denoising Method. International Journal of Information Technology and Knowledge Management, 2010, 2(2) :491-497.

[2]Rafael C. Gonzalez, Richard E. Woods,Digital Image processing using MATLAB. Second Edition, Mc Graw hill.

[3]Shyam Lal, Mahesh Chandra, Gopal Krishna Upadhyay, Deep Gupta. Removal of Additive Gaussian Noise by Complex Double Density Dual Tree Discrete Wavelet Transform. MIT International Journal of Electronics and Communication Engineering , 2011, 1(1):8-16.

[4]H. Guo, J. E. Odegard, M.Lang, A. Gopinath, J. W. Selesnick. Wavelet based Speckle Reduction with Application to SAR based ATD/R. First International Conference on Image Processing 1994:75-79.

[5]S.Kalaivani Narayanan, and R.S.D.Wahidabanu. A View on Despeckling in Ultrasound Imaging. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2009, 2(3):85-98.

[6]Manish Goyal, Gianetan Singh Sekhon. Hybrid Threshold Technique for Speckle Noise Reduction using wavelets for Grey scale images. IJCST, 2011, 2(2) :620-625.

[7]S.Sudha, G. R. Suresh, R. Suknesh. Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance. International Journal of Computer Theory and Engineering,2009, 1(1):7-12.

[8]T. Ratha Jeyalakshmi, K. Ramar. A Modified Method for Speckle Noise Removal in Ultrasound Medical Images. International Journal of Computer and Electrical Engineering, 2010,2(1):54-58.

[9]Takanori Koga, Eiji Uchino, Noriaki Suetake, Genta Hashimoto, Takafumi Hiro, Masunori Matsuzaki. Speckle Noise Reduction and Edge-Enhancement of Coronary Plaque Tissue in Intravascular Ultrasound Image by Using Anisotropic Diffusion Filter. International Journal of Circuits, System and Signal processing, 2008, 4(2):239-248.

[10]Pei-Yin Chen. An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise. IEEE Signal processing letter, 2008, 15:833-836.

[11]Robert D. Nowak. Wavelet Based Rician Noise Removal. IEEE Transactions on Image Processing, 1999, 8(10) :1408-1419.

[12]Harold Phelippeau. Shot Noise Adaptive Bilateral Filter. IEEE Signal Processing, ICSP 2008, 9th International Conference, 2008:864 – 867.

[13]Zhiwu Liao,Shaoxiang Hu,Zhiqiang Yu,Dan Sun. Medical Image Blind Denoising Using Context Bilteteral Filter. International Conference of Medical Image Analysis and Clinical Application, 2010:12-17.

[14]C.Tomasi, R. Manduchi. Bilateral Filtering for Gray and Color images. Procedings of IEEE international Conference on Computer Vision, Bombay, India, 1998: 839-846.

[15]Lu Zhang, Jiaming Chen, Yuemin Zhu, Jianhua Luo. Comparisons of Several New Denoising Methods for Medical Images. IEEE, 2009:1-4.

[16]Michael Elad. On the Origin of the Bilateral Filter and Ways to Improve It. IEEE transaction on image processing, 2002, 11(10):1141-1151.

[17]Ming Zhang, Bahadir K. Gunturk. Multiresolution Bilateral Filtering for Image Denoising. IEEE transaction on image processing, 2008, 17(12):2324-2333.

[18]S.Kother Mohideen, S. Arumuga Perumal, M.Mohamad Sathik. Image De-noising using Discrete Wavelet transform. IJCSNS International Journal of Computer Science and Network Security, 2008, 8(1):213-216.

[19]Buyue Zhang. Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal. IEEE transaction on image processing, 2008, 17(5):664-678.

[20]J.J. Francis, G. de Jager. “The Bilateral Median Filter” IEEE Transactions on Image Processing, 2008:421–432.

[21]Liu Wei. New Method for Image Denoising while Keeping Edge Information. Image and Signal Processing, CISP 09. 2nd International Congress, 2009:1-5.

[22]Alexander Wong. Adaptive bilateral filtering of image signals using local phase characteristic. Elsevier, Signal Processing, 2008, 88:1615-1619.