Archive
Volume 1, Issue 2
International Journal of Science and Engineering Applications (IJSEA)
Volume 1, Issue 2 - December 2012
PERFORMANCE ASSESMENT OF SPATIAL FILTERS IN NOISE REMOVAL BASED ON A DEGRADATION MODEL
Abstract:
The most significant feature of images is to reduce Gaussian noise which is commonly found in images and make better image quality. In recent years, technological development has significantly improved analyzing images. Spatial filtering is the method of choice in situations when only additive random noise is present. In this paper, an attempt is made to evaluate the performance of the four linear and non-linear filters used for removing noise from the image. The performance of the noise removal process is analyzed, and the results are compared with the previously reported.
Keywords: spatial filters, Gaussian noise, linear and non linear filter, degradation.
References:
[1] H. Hu and G. de Haan. 2006. Classification-based hybrid filters for image processing. Proc. SPIE, Visual Communications and Image Processing. 6077, 607711.1-607711.10.
[2] Hakan Güray Senel, Richard Alan Peters and Benoit Dawant. 2002. Topological Median Filter. IEEE Trans on Image Processing. 11(2): 89-104.
[3] How-Lung Eng, Student Member, IEEE, and Kai-Kuang Ma. 2001. Noise Adaptive Soft-Switching Median Filter : IEEE Transactions On Image Processing, VOL. 10, NO. 2.
[4] Ioannis Pitas, Anastasias N Venetsanopoulos. 1990. Nonlinear Digital Filters: Principles and Applications. NJ: Springer Publisher.
[5] J. W. Tukey. 1974. Nonlinear (nonsuperposable) methods for smoothing data. In: Proc. Congr. Rec. EASCOM ’74. pp. 673-681.
[6] Klaus Rank and Rolf Unbehauen. 1992. An Adaptive Recursive 2-D Filter for Removal of Gaussian Noise in Images. IEEE Transactions on Image Processing: 431-436.
[7] Mamta Juneja and Rajni Mohana. 2009. An Improved Adaptive Median Filtering Method for Impulse Noise Detection. International Journal of Recent Trends in Engineering. 1(1): 274-278.
[8] P. Kuosmanen and J. Astola, "Fundamentals of Nonlinear Digital Filtering," CRC Press Inc.,Boca Raton, 1998.
[9] R. Gonzalez and R. Woods. 1992. Digital Image Processing. Adison -Wesley, New York.
[10] S. Peng and L. Lucke. 1995. A hybrid filter for image enhancement. Proc. of International Conference on Image Processing (ICIP). 1: 163-166.
[11] Yanchun Wang, Dequn Liang, Heng Ma and Yan Wang. 2006. An Algorithm for Image Denoising Based on Mixed Filter. Proceedings of the 6th World Congress on Intelligent Control and Automation. June 21-23. pp. 9690-9693.