IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
PREVIOUS PUBLICATIONS



IJTEEE >> Volume 1 - Issue 3, October 2013 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Fast Decision Based Weighted Fuzzy Mean Filtering For Extremely Corrupted Images

[Full Text]

 

AUTHOR(S)

Easwara M, Satish Babu J

 

KEYWORDS

Index terms: uncertainty, weighted fuzzy mean, cloud metrics, soft values.

 

ABSTRACT

Abstract: This paper presents an uncertainty based novel filter that integrates randomness and fuzziness, for extremely corrupted images by salt and pepper impulse noise. In real time work, high computational efficiency is the most important factor while suppressing noise with better edge and detail preservation. The proposed algorithm is bounded with all these aspects. In this scheme, the corrupted pixel is identified by the strong decision and replaced it by a weighted fuzzy mean estimation. Since, the Certainty Degrees (CD) of each pixels are soft values and are used as the weights, the noisy pixels are reconstructed with an appropriate pixel values. The simulation results show that the performance of the proposed filter is much better than decision based algorithms and cloud model based detection filter across a wide range of impulse noise, as high as 90%, with edge and detail preservation.

 

REFERENCES

[1]. Rafael Gonzalez, Richard Woods, “Digital Image Processing”. Pearson Publications, 2002. 2nd Edition.

[2]. A.K.Jain,“Fundamentals of digital image processing”. Prentice Hall, 1989.

[3]. S.-J. Ko and Y. H. Lee, “Center weighted median filters and their applications to image enhancement,” IEEE Trans. Circuits and Systems, vol. 38, no. 9, pp. 984–993, 1991.

[4]. Z. Wang and D. Zhang, “Progressive switching median filter for the removal of impulse noise from highly corrupted images,” IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, vol. 46, no. 1, pp. 78–80, 1999.

[5]. P.-E. Ng and K.-K. Ma, “A switching median filter with boundary discriminative noise detection for extremely corrupted images,” IEEE Trans. Image Process. vol. 15, no. 6, pp. 1506–1516, Jun. 2006.

[6]. K. S. Srinivasan, D. Ebenezer, “A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises,” IEEE Signal Processing Papers, Vol. 14, No. 3, pp. 189-192, March 2007.

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

[8]. Zhe Zhou, “Cognition and Removal of Impulse Noise With Uncertainty”, IEEE Transactions on Image Processing, Vol. 21, No. 7, July 2012, pp-3157-3164