A Novel Impulse Detector for Filtering of Highly Corrupted Images
As the performance of the filtering system depends
upon the accuracy of the noise detection scheme, in this paper, we
present a new scheme for impulse noise detection based on two
levels of decision. In this scheme in the first stage we coarsely
identify the corrupted pixels and in the second stage we finally
decide whether the pixel under consideration is really corrupt or not.
The efficacy of the proposed filter has been confirmed by extensive
simulations.
[1] R C Gonzales and R E Woods, Digital Image Processing, 2nd ed.
Reading, MA: Addison -Wesley, 2002.
[2] G. R. Arce and M. P. McLoughlin, "Theoretical analysis of the
MAX/Median filter," IEEE Trans. Acoust. Speech,Signal Processing,
vol. ASSP-35, pp.60-69, 1987.
[3] Z. Wang, D. Zhang, "Progressive switching median filter for the
removal of impulse noise from highly corrupted images," IEEE Trans.
Circuits Syst., vol. 46, pp. 78-80, 1999.
[4] S. Zhang, M.A. Karim, "A new impulse detector for switching median
filters" IEEE Signal Processing Letters, vol. 9, No.11, pp. 360-363,
2002.
[5] S.-J.Ko and Y.-H Lee, "Center weighted median filters and their
applications to image enhancement," IEEE Trans. Circuits Syst., vol. 38,
pp. 984-993, 1991.
[6] Tao Chen and Hong Ren Wu, "Space Varient Median Filters for the
Restoration of Impulse Noise Corrupted Images," IEEE Trans. Circuits
Syst.-II: Analog And Digital Signal Processing, vol. 48, No. 8, pp.784-
789, 2001.
[7] T. Chen, K.-K. Ma, and Li-Hui Chen "Tri-state median filter for image
denoising," IEEE Trans. Image Processing, vol. 8, pp. 1834 - 1838,
1999.
[8] S.-Q. Yuan and Y.-H. Tan, "Difference - type noise detector for
adaptive median filter," IEE Electronics Letters, vol. 42, pp. 454-455,
2006.
[1] R C Gonzales and R E Woods, Digital Image Processing, 2nd ed.
Reading, MA: Addison -Wesley, 2002.
[2] G. R. Arce and M. P. McLoughlin, "Theoretical analysis of the
MAX/Median filter," IEEE Trans. Acoust. Speech,Signal Processing,
vol. ASSP-35, pp.60-69, 1987.
[3] Z. Wang, D. Zhang, "Progressive switching median filter for the
removal of impulse noise from highly corrupted images," IEEE Trans.
Circuits Syst., vol. 46, pp. 78-80, 1999.
[4] S. Zhang, M.A. Karim, "A new impulse detector for switching median
filters" IEEE Signal Processing Letters, vol. 9, No.11, pp. 360-363,
2002.
[5] S.-J.Ko and Y.-H Lee, "Center weighted median filters and their
applications to image enhancement," IEEE Trans. Circuits Syst., vol. 38,
pp. 984-993, 1991.
[6] Tao Chen and Hong Ren Wu, "Space Varient Median Filters for the
Restoration of Impulse Noise Corrupted Images," IEEE Trans. Circuits
Syst.-II: Analog And Digital Signal Processing, vol. 48, No. 8, pp.784-
789, 2001.
[7] T. Chen, K.-K. Ma, and Li-Hui Chen "Tri-state median filter for image
denoising," IEEE Trans. Image Processing, vol. 8, pp. 1834 - 1838,
1999.
[8] S.-Q. Yuan and Y.-H. Tan, "Difference - type noise detector for
adaptive median filter," IEE Electronics Letters, vol. 42, pp. 454-455,
2006.
@article{"International Journal of Information, Control and Computer Sciences:58601", author = "Umesh Ghanekar", title = "A Novel Impulse Detector for Filtering of Highly Corrupted Images", abstract = "As the performance of the filtering system depends
upon the accuracy of the noise detection scheme, in this paper, we
present a new scheme for impulse noise detection based on two
levels of decision. In this scheme in the first stage we coarsely
identify the corrupted pixels and in the second stage we finally
decide whether the pixel under consideration is really corrupt or not.
The efficacy of the proposed filter has been confirmed by extensive
simulations.", keywords = "Impulse detection, noise removal, image filtering.", volume = "2", number = "2", pages = "504-4", }