The week's pick
Reseach Article
Improved Spatially Adaptive Denoising Algorithm to Suppress Gaussian Noise in an Image
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 67 - Number 17 |
| Year of Publication: 2013 |
| Authors: Sarmila Padhy, Ratnakar Dash |
10.5120/11485-7187
|
Sarmila Padhy, Ratnakar Dash . Improved Spatially Adaptive Denoising Algorithm to Suppress Gaussian Noise in an Image. International Journal of Computer Applications. 67, 17 ( April 2013), 5-8. DOI=10.5120/11485-7187
Abstract
In this paper, an improved Spatially Adaptive Denoising Algorithm (SADA) is proposed which leads to satisfactory results in terms of objective and subjective when the image is corrupted with the SNR level less than 10dB of additive white Gaussian noise. In general, suppression of Gaussian noise poses a trade-off problem between denoising and preserving the detailed information of the image. So in this proposed method, the parameters of local statistics are used for effective noise suppression with preserving detailed information as compared to PWMAD, SAWM and SADA methods. All pixels including the diagonal elements of the local window with uniform weighting coefficients are taken in our proposed method for the noise detection and removal. Local statistics, computational cost, over-smoothness, error detection and smoothing degree of reconstructed image are the parameters taken into account to effectively remove the noise components in the proposed method.
References
- R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison Wesley, 1992.
- H. C. Andrew and B. R. Hunt, Digital Image Restoration, Prentice Hall, 1977.
- T. A. Nodes and N. C. Gallagher, Median filters: some modifications and their properties, in IEEE Trans. Acoustics, Speech and Signal Processing, vol. 30, no. 5, pp. 739--746, 1982.
- D. H. Shin, R. H. Park, S. J. Yang, Block based noise estimation using adaptive Gaussian filtering, in IEEE Transaction Consumer Electronics, vol. 51, no. 1, 2005.
- A. Bosco, A. Bruna, G. Messina, Fast Method for Noise Level Estimation and Integrated Noise Reduction, in IEEE Transaction On Consumer Electronics, vol. 51, no. 3, pp. 1028--1033, 2005.
- V. R. Vijayakumar, P. T. Vanathi, Fast and Efficient Algorithm to Remove Gaussian Noise in Digital Images, in IAENG International Journal of Computer Science, vol. 37, no. 1, 2009.
- V. Crnojevic and V. Senk and Z. Trpovski, Advanced impulse detection based on pixel-wise MAD, in IEEE Signal Processing Letters, vol. 11, no. 7, pp. 589--592, 2004.
- H. Ibrahim, N. S. P. Kong, T. F. Ng, Simple adaptive median filter for the removal of impulse noise from highly corrupted images, in IEEE Transaction On Consumer Electronics, vol. 54, no. 4, 2008.
- T. Nguyen, W. Song and M. Hong, Spatially adaptive denoising algorithm for a single image corrupted by Gaussian noise, in IEEE Transaction On Consumer Electronics, vol. 56, no. 3, 2010.
- G. L. Anderson, A. N. Netravali, image restoration based on a subjective criterion, in IEEE Transactions Systems, Man, and Cybernetics, vol. 6, no. 12, pp. 845--853,1976.
Index Terms
Keywords