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2014 (Vol. 7, Issue: 6)
Article Information:

An Image Denoising Framework with Multi-resolution Bilateral Filtering and Normal Shrink Approach

Shivani Sharma and Gursharanjeet Singh Kalra
Corresponding Author:  Shivani Sharma 

Key words:  Bilateral filter, MBF, MSE, NormalShrink, PSNR, wavelet thresholding,
Vol. 7 , (6): 1240-1246
Submitted Accepted Published
March 29, 2013 April 22, 2013 February 15, 2014

In this study, an image denoising algorithm is presented, which takes into account wavelet thresholding and bilateral filtering in transform domain. The proposed algorithm gives an extension of the bilateral filter i.e., multiresolution bilateral filter, in which bilateral filtering is applied to the approximation sub bands and normal shrink is used for thresholding the wavelet coefficients of the detail sub bands of an image decomposed using a wavelet filter bank up to 2-level of decomposition. The algorithm is tested against ultrasound image of gall bladder corrupted by different types of noise namely, gaussian, speckle, poisson and impulse. The result shows that with increase in decomposition levels the proposed method is effective in eliminating noise but gives overly smoothed image. The algorithm outperforms with speckle and poisson noise at 2- level decomposition in terms of PSNR.
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  Cite this Reference:
Shivani Sharma and Gursharanjeet Singh Kalra, 2014. An Image Denoising Framework with Multi-resolution Bilateral Filtering and Normal Shrink Approach.  Research Journal of Applied Sciences, Engineering and Technology, 7(6): 1240-1246.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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