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Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 1، دوره 42، شماره 1، تیر 2010، صفحه 1-7 اصل مقاله (536.4 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2010.94 | ||
| نویسندگان | ||
| Payman Moallemi* 1؛ Majid Behnampourii2 | ||
| 1Corresponding Author, P. Moallem is with the Department of Electrical Engineering, University of Isfahan, Isfahan, Iran (e-mail: p_moalem@ui.ac.ir). | ||
| 2M. Behnampour is with Iran Aircraft Manufacturing (HESA), Shain Shar, Isfahan, Iran (e-mail: majidbehnam20@gmail.com). | ||
| چکیده | ||
| Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy image. Then, the repetitive pattern of the periodic noise is produced by applying the corresponding notch pass filter. Finally, an output image with reduced periodic noise is restored by an optimum notch filter method. The results of the proposed adaptive optimum notch filter are compared by the mean and the median filtering techniques in frequency domain. The results show that the proposed filter has higher performances, visually and statistically, and has lower computational cost. In spite of the other compared methods, the proposed filter does not need to tune any parameters. | ||
| کلیدواژهها | ||
| Periodic Noise؛ Optimum Notch Filter؛ Detection of Noisy Frequencies؛ Region Growing | ||
| عنوان مقاله [English] | ||
| Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images | ||
| چکیده [English] | ||
| Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy image. Then, the repetitive pattern of the periodic noise is produced by applying the corresponding notch pass filter. Finally, an output image with reduced periodic noise is restored by an optimum notch filter method. The results of the proposed adaptive optimum notch filter are compared by the mean and the median filtering techniques in frequency domain. The results show that the proposed filter has higher performances, visually and statistically, and has lower computational cost. In spite of the other compared methods, the proposed filter does not need to tune any parameters. | ||
| کلیدواژهها [English] | ||
| Periodic Noise, Optimum Notch Filter, Detection of Noisy Frequencies, Region Growing | ||
| مراجع | ||
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[1] R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, 2007. [2] R. Drigger, P. Cox, T. Edwards, Introduction to Infrared and Electro-Optical System, Artech House Publishers, 1999. [3] R.A. Schowengerdt, Remote Sensing: Models and Methods for Image processing, 2nd Edition, Academic Press, 1997. [4] V. Castelli, L.D. Bergman, Image Databases, Search and Retrieval of Digital Imagery, John Wiley & Sons, 2002. [5] T.Y. Ji, M.S. Li, Z. Lu, O.H. Wu, "Optimal morphological filter design using a bacterial swarming algorithm," in Proc. 2008 IEEE Congress on Evolutionary Computation, pp. 452-458. [6] T.Y. Ji, Z. Lu, O.H. Wu, "Optimal soft morphological filter for periodic noise removal using a particle swarm optimiser with passive congregation," Signal Processing, Vol. 87, Issue 11, pp. 2799-2809, 2007. [7] I. Aizenburg, C. Butakoff, "A windowed Gaussian notch filter for quasi-periodic noise removal," Image and Vision Computing, Vol. 26, Issue 10, pp. 1347-1353. [8] I. Aizenberg, C. Butakoff, "Frequency Domain Median-like Filter for Periodic and Quasi-Periodic Noise Removal," SPIE Proceeding, Vol. 4667, 181-191, 2002. [9] I. Aizenberg, C. Butakoff, J. Astola, K. Egiazarian, "Nonlinear Frequency Domain Filter for the Quasi-Periodic Noise Removal," in Proc. 2002 International TICSP Workshop on Spectral Methods and Multirate Signal Processing, pp. 147-153. [10] R. Venkateswarlu, K.V. Sujata, B. Venkateswara Rao, "Centroid Tracker and Point Selection," SPIE Proceeding, Vol. 1697, pp. 520-529, 1992. [11] R. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010. [12] R.C. Gonzalez, R.E. Woods, S.L Eddins, Digital Image Processing using MATLAB, Gatesmark Publishing, 2nd Edition, 2009. | ||
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