publication . Preprint . 2013

Image Denoising Using Interquartile Range Filter with Local Averaging

Jassim, Firas Ajil;
Open Access English
  • Published: 05 Feb 2013
Abstract
Image denoising is one of the fundamental problems in image processing. In this paper, a novel approach to suppress noise from the image is conducted by applying the interquartile range (IQR) which is one of the statistical methods used to detect outlier effect from a dataset. A window of size kXk was implemented to support IQR filter. Each pixel outside the IQR range of the kXk window is treated as noisy pixel. The estimation of the noisy pixels was obtained by local averaging. The essential advantage of applying IQR filter is to preserve edge sharpness better of the original image. A variety of test images have been used to support the proposed filter and PSNR...
Subjects
arXiv: Computer Science::Computer Vision and Pattern Recognition
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition
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19 references, page 1 of 2

[1] A. A. Gulhane and A. S. Alvi, “Noise Reduction of an Image by using Function Approximation Techniques”, International Journal of Soft Computing and Engineering (IJSCE) Volume-2, Issue-1, March 2012

[2] C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick, and W. T. Freeman, “Automatic Estimation and Removal of Noise from a Single Image Noise from a Single Image”, IEEE Transactions on Pattern Analysis And Machine Intelligence, Vol. 30, No. 2, February 2008

[3] D. Shekar and R. Srikanth, “Removal of High Density Salt & Pepper Noise in Noisy Images Using Decision Based UnSymmetric Trimmed Median Filter (DBUTM)”, International Journal of Computer Trends and Technology, vol. 2, Issue 1, 2011

[4] F. M. Dekking, C. Kraaikamp, H.P. Lopuhaa, L.E. Meester, A Modern Introduction to Probability and Statistics: Understanding Why and How, Springer-Verlag, London Limited, 2005, pp:236

[5] G. Hanji and M. V. Latte, “A New Impulse Noise Detection and Filtering Algorithm”, International Journal of Scientific Research and Publications, Vol. 2, Issue 1, 2012.

[6] H. Hosseini, F. Marvasti, “Fast Impulse Noise Removal from Highly Corrupted Images”, Available:

[7] H. Hwang and R. A. Haddad, “Adaptive Median Filters: New Algorithms and Results”, IEEE Transactions on Image Processing, Vol. 4, No. 4, 1995 http://arxiv. org/ftp/arxiv/papers/1105/11052899. pdf

[8] J. M. C. Geoffrine and N. Kumarasabapathy, “Study And Analysis Of Impulse Noise Reduction Filters”, Signal & Image Processing : An International Journal(SIPIJ), Vol.2, No.1, March 2011 [OpenAIRE]

[9] J.S. Marcel, A. Jayachandran, G. K .Sundararaj, “An Efficient Algorithm for Removal of Impulse Noise Using Adaptive Fuzzy Switching Weighted Median Filter”, International Journal of Computer Technology and Electronics Engineering (IJCTEE), Vol 2, Issue 2, 2012

[10] K. R. Castleman, Digital Image Processing, Prentice Hall, 1996, pp:414

[11] M. S. Nair, K. Revathy, and R. Tatavarti, “Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm”, Proceedings of the International MultiConference of Engineers and Computer Scientists IMECS, 19-21 March, Hong Kong, Vol I, 2008

[12] R. C. Gonzalez and R. E. Woods. Digital Image Processing, Prentice Hall, New Jersey 07458, second edition, 2001, pp: 222.

[13] R. H. Chan, C.-W. Ho, and M. Nikolova, “Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization”, IEEE Transactions on Image Processing, Vol. 14, No. 10, October 2005

[14] S. S. Al-Amri, N.V. Kalyankar, and Khamitkar S.D, “A Comparative Study of Removal Noise from Remote Sensing Image”, International Journal of Computer Science Issues, Vol. 7, Issue. 1, No. 1, January 2010 [OpenAIRE]

[15] S.-S. Ieng, J.-P. Tarel and P. Charbonnier, “Modeling Non-Gaussian Noise For Robust Image Analysis”, In proceeding of: VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007 - Volume 1 [OpenAIRE]

19 references, page 1 of 2
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