Image Enhancement Of Under Water Images Using Structured Preserving Noise Reduction Algorithm

International Journal of Computer Trends and Technology (IJCTT)          
© - October Issue 2013 by IJCTT Journal
Volume-4 Issue-10                           
Year of Publication : 2013
Authors :D.Napoleon , M.Praneesh


D.Napoleon , M.Praneesh"Image Enhancement Of Under Water Images Using Structured Preserving Noise Reduction Algorithm"International Journal of Computer Trends and Technology (IJCTT),V4(10):3697-3700 October Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract:-  This paper presents SUSAN (Structure Preserving Noise Reduction algorithm) for gray scale images contaminated by traditional median noise. Remote sensing images are affected by different types of noise like Gaussian noise, Speckle noise and impulse noise. These noises are introduced into the under water images during acquisition or transmission process. In this paper traditional median filter and structured preserving noise reduction Algorithm is used for reduce the noise rate, when compare to this filter and SUSAN Algorithm, Structured Preserving Noise Reduction gives better results.


References -

[1]. Mr. Salem Saleh Al-amir, Dr. N.V. Kalyankar and Dr. S. D. Khamitkar, “A Comparitive Study of Removal Noise from Remote Sensing Image”, IJCSI, Vol. 7, Issue. 1,No.1, January 2010
[2]. S. K. Satpathy, S. Panda, K. K. Nagwanshi, S.K. Nayak and c. Ardil, “Adaptive Non-Linear Filtering Technique for Image Restoration”, IJECE 5:1 2010.
[3]. Mrs. V. Radhika and Dr. G. Padmavathi, “Performance of Various Order Statistics Filters in Impulse and Mixed Noise Removal for RS Images”, SIPIJ, Vol,1, No.2, December 2010.
[4] J. Astola and P. Kuosmanen, Fundamentals of Nonlinear Digital Filtering, Boca Raton, FL: CRC, 1997.
[5]. Andrew A. Green, Mark Berman, Paul Switzer and Maurice D. Graig, “A Transform for Ordering Multispectral Data in terms of Image Quality with Implications for noise removal”, IEEE, Vol. 26, No.1 January 1988
[6]. Eong-Seok Yu, Joon-Yeop Lee and Jun-Dong Senior Member, “A Fast Sorting Algorithm for General Purpose Standard Median Filters in VLSI implementation”, IEEE
[7]. Behrooz Ghandeharian, Hadi Sadoghi Yazdi and Faranak Homayouni, “Modified Adaptive Centre Eighted Median Filter for Uppressing Impulsive Noise in Images”, IJRRAS, Vol,1, Issue.3, December 2009.
[8]. M. Prema Kumar, P.H.S.Tejo Murthy and Dr.P.Rajesh Kumar, “Performance Evaluation of Different Image Filtering Algorithms Using Image Quality Assessment”, IJCA, Vol. 18, No.6, March 2011.
[9]. Walter Nistico, Uwe Schwiegelshohn, Matthias Hebbel, Ingo Dahm, “Real Time Structure Preserving Image Noise Reduction for Computer Vision on Embedded Platfroms”
[10]. Zhihong Mao, Lizhuang Ma, Mingxi Zhao and Xuezhong Xiao, “SUSAN structure preserving filtering for mesh denoising”, Springer, April 2006.
[11] S. M. Smith and J. M. Brady, “SUSAN - A New Approach to Low Level Image Processing,” Int. Journal Computer Vision, vol. 23, no. 1, 1997

Keywords :— Traditional median filter, structure preserving noise reduction algorithm