The week's pick
Random Articles
Reseach Article
A Novel Approach for Salt and Pepper Noise Removal using ROR and Contourlet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 9 |
| Year of Publication: 2013 |
| Authors: M. Mohana Dhas, G. Suganthi |
10.5120/12383-8735
|
M. Mohana Dhas, G. Suganthi . A Novel Approach for Salt and Pepper Noise Removal using ROR and Contourlet Transform. International Journal of Computer Applications. 71, 9 ( June 2013), 1-5. DOI=10.5120/12383-8735
Abstract
ROR and Contourlet transform is proposed to restore images corrupted by salt and pepper impulse noise. The operation is carried out in two stages, i. e. , detection followed by filtering. For detection first, we propose the robust outlyingness ratio (ROR) for measuring how impulse like each pixel is, and then all the pixels are divided into four clusters according to the ROR values. Second, different decision rules are used to detect the impulse noise based on the absolute deviation to the median in each cluster. In order to make the detection results more accurate and more robust, the from-coarse-to-fine strategy and the iterative framework are used. In addition, the detection procedure consists of two stages, i. e. , the coarse and fine detection stages. For filtering, proposed algorithm using contourlet transform (CT). Simulation results demonstrate that the proposed algorithm is better than traditional filters and is particularly effective for the cases where the images are very highly corrupted.
References
- R. C. Gonzalez and R. E. Woods, "Digital Image Processing," Englewood Cliffs, NJ: Prentice-Hall, 2002.
- T. Sun and Y. Neuvo, "Detail-preserving median based filters in image processing," Pattern Recognit. Lett. , vol. 15, pp. 341–347, 1994.
- T. Chen and H. R. Wu, "Space variant median filters for the restoration of impulse noise corrupted images," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process. , vol. 48, no. 8, pp. 784–789, Aug. 2001.
- "Adaptive impulse detection using center-weighted median filters," IEEE Signal Process. Lett. , vol. 8, no. 1, pp. 1–3, Jan. 2001.
- P. S. Windyga, "Fast impulsive noise removal," IEEE Trans. Image Process. , vol. 10, no. 1, pp. 173–179, Jan. 2001.
- N. Alajlan, M. Kamel, and E. Jernigan, "Detail preserving impulsive noise removal," Signal Process. : Image Commun. , vol. 19, pp. 993–1003, 2004.
- E. Abreu, M. Lightstone, S. K. Mitra, and K. Arakawa, "A new efficient approach for the removal of impulse noise from highly corrupted images," IEEE Trans. Image Process. , vol. 5, no. 6, pp. 1012–1025, Jun. 1996.
- G. Pok, J. C. Liu, and A. S. Nair, "Selective removal of impulse noise based on homogeneity level information," IEEE Trans. Image Process. , vol. 12, no. 1, pp. 85–92, Jan. 2003.
- V. Crnojevic´, V. ? Senk, and ?Z Trpovski, "Advanced impulse detection based on pixel-wise MAD," IEEE Signal Process. Lett. , vol. 11, no. 7, pp. 589–592, Jul. 2004.
- I. Aizenberg, C. Butakoff, and D. Paliy, "Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions," IEEE Signal Process. Lett. , vol. 12, no. 1, pp. 63–66, Jan. 2005.
- E. Bes¸dok and M. E. Yüksel, "Impulsive noise suppression from images with Jarque-Bera test based median filter," J. Electron. Commun. , vol. 59, pp. 105–110, 2005.
- F. Russo, "Impulse noise cancellation in image data using a two-output nonlinear filter Measurement", vol. 36, pp. 205–213, 2004.
- W. Luo, "A new efficient impulse detection algorithm for the removal of impulse noise," IEICE Trans. Fundam. , vol. E88-A, no. 10, pp.
- M. N. Do and M. Vetterli, "Contourlets," in Beyond Wavelets, G. V. Welland, Ed. New York: Academic Press, 2003.
- "The contourlet transform: an efficient directional multiresolution image representation," IEEE Trans. Image Proc. , to appear,http://www. ifp. uiuc. edu/˜minhdo/publications.
- Bo Xiong and Zhouping Yin, "A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means", IEEE Trans. Image Process, VOL. 21, NO. 4, APRIL 2012.
- H. Hwang and R. A. Haddad, "Adaptive median filters: Newalgorithms and results," IEEE Trans. Image Process. , vol. 4, no. 4, pp. 499–502, Apr. 1995.
- Aditya Mavlankar, David Chen, Sameh Zakhary, Markus Flierl, and Bernd Girod "Noise Processing For Simple Laplacian Pyramid Synthesis Based on Dual Frame Reconstruction" Information System Laboratory Department of Electrical Engineering, Stanford UniversityStanford.
- Dr. G. Suganthi, M. Mohana Dhas ," High Density Salt-and-Pepper Noise Reduction by combining NAFSM Filter and FCM" International Journal of engineering technology and computer applications Vol. 1 No. 2.
Index Terms
Keywords