A new impulse noise detection and filtering algorithm

• Autorzy: Hanji G. , Latte M. V.
• Języki publikacji: EN

Abstrakty

EN

A new impulse detection and filtering algorithm is proposed for restoration of images that are highly corrupted by impulse noise. It is based on the average absolute value of four convolutions obtained by one-dimensional Laplacian operators. The proposed algorithm can effectively remove the impulse noise with a wide range of noise density and produce better results in terms of the qualitative and quantitative measures of the images even at noise density as high as 90%. Extensive simulations show that the proposed algorithm provides better performance than many of the existing switching median filters in terms of noise suppression and detail preservation.

Słowa kluczowe

EN

image processing; impulse noise; noise suppression; detail preservation

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2011
• Tom: Vol. 16, no 1-2
• Strony: 43--48
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Hanji G.

autor

Latte M. V.

• ECE Department, P.D.A. Engg. College, Gulbarga, Karnataka, India,,

Bibliografia

• [1] I. Pitas, A. N. Venetsanopoulos, Order statistics in Digital Image Processing, Proc. IEEE 80(12): 1893-1921, 1992
• [2] R. H. Chan, C.-W. Ho, M. Nikolova, Salt-and-pepper noise removal by median type noise detectors and detail-preserving regularization, IEEE Trans. Image Process, 14(10):1479-1485, 2005
• [3] S. Zhang, M. A. Karim, A new impulse detector for switching median filters, IEEE Signal Process. Lett. 9(11):360-363, 2002
• [4] Shuenn-Shyang Wang., Cheng-Hao Wu, New Impulse Detection and Filtering Method for Removal of Wide Range Impulse Noises, Pattern Recognition 42:2194-2202, 2009
• [5] Kwanghoon Sohn, Kyu-Cheol Lee, and Jungeun Lim, Impulsive noise filtering based on noise detection in corrupted digital color images, Circuits systems signal processing. 20(6):643-54, 2001
• [6] W. Luo, A new efficient impulse detection algorithm for the removal of impulse noise, IE-ICE TRANS. Fund. Electron. E88-A(10):2579-2586, 2005
• [7] K. S. Srinivasan, D. Ebenezer, A new fast and efficient decision-based algorithm for removal of high-density impulse noises, IEEE Signal Process. Lett. 14(3):189-192, 2007
• [8] I. Pitas, A. N. Venetsanopoulos, Nonlinear Digital Filter: Principles and Application, Kluwer, Boston, MA, 1990
• [9] I. Aizenberg, C. Butakoff, Effective Impulse Detector Based on Rank-Order criteria, IEEE Signal Process. Lett. 11(3):363-366, 2004
• [10] H. L. Eng, K. K. Ma, Noise adaptive soft-switching median filter, IEEE Trans. Image Process. 10(2):242-251, 2001
• [11] Y. Dong, S. Xu, A new directional weighted median filter for removal of random valued impulse noise, IEEE Signal Process. Lett. 14(3): 193-196, 2007
• [12] F. R. Hampel, E. M. Ronchetti, P. J. Rousseeuw, and W. A. Stahel, Robust Statistics: The Approach Based on Influence Functions, New York: Wiley, 1986