Email this article 
Open Access
Subscription or Fee Access
Bspline Interpolation Filter Approach for Reduction of Heavily Corrupted by Salt-and-Pepper Noise in Images
Abstract
The proposed approach used in this paper is meant for reduction of the salt and pepper noise which heavily corrupts the images. The main aim of the corresponding approach is to analyze the Bicubic splines for denoising .The algorithm used here employs interpolation property which plays a central role in Bicubic Spline. Different special case conditions are considered while using Bicubic splines for noise reduction. The projected Algorithm are compared with the other active Algorithms like SMF, AMF, CWF, aTDF, TMF, PSMF, DBA, IDBA, MDBMF. The comparison results of the above method shows the first-class performance. Experimental testing are done on the projected algorithm using different image file formats. As a result, the proposed algorithm shows 90% efficiency.
Keywords
References
J. Astola and P. Kuosmaneen, Fundamentals of nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
S.Balasubramanian, S.Kalishwaran, R.Muthuraj, D.Ebenezer, V.Jayaraj “An efficient Nonlinear cascade filtering algorithm for removal of high density salt and pepper noise in image and video sequence”, Intl Conf on control, Automation, communication and Energy Conservation,2009,
P. E. Ng and K. K. Ma, “A switching median filter with boundary discriminative noise detection for extremely corrupted images,” IEEE Transactions on image processing, vol.15, no.6, pp. 1506-1516, June 2006.
K.S. Srinivasan and D.Ebenezer, “A new fast and efficient decision based algorithm for the removal of high density impulse noise,” IEEE Signal processing letters, vol.14, no.3, pp.189-192, March 2007.
S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam and C.H. Prem Chand, “Removal of high density Salt and pepper noise through modified decision based Unsymmetrical trimmed median filter.” IEEE Signal processing letters, Vol. 18, no.5, May 2011.
K.S. Srinivasan and D.Ebenezer, “A new fast and efficient decision based algorithm for the removal of high density impulse noise,” IEEE Signal processing letters, vol.14, no.3, pp.189-192, March 2007.
K.Aiswarya, V .Jayaraj, and D.Ebenezer, “A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos,” in second international conference on computer modeling and simulation, 2010, pp.409-413.
R.K.Kulkarni, S. Meher, and Mrs. J.M.Nair,”An algorithm for image denoising by robust estimator ,”European Journal Of Scientific Research, ISSN 1450-216X,vol 39,no.3,.pp.372-380,2010.
H. Hwang and R. A.Hadded, “Adaptive median filter: New algorithms and results,” IEEE transaction on image processing., vol 4,no 4,pp 499-502
S.-J.Ko and Y.-H Lee, "Center weighted median filters and their applications to image enhancement", IEEE Trans. Circuits Syst., vol.38, pp. 984-993, 1991.
Zhang Hongke, "Generalized Threshold Decomposition" , Journal of electronics, voll4, l, Jan 1997
K.Vasanth, S.Karthik, “Unsymmetrical Trimmed median as Detectors for salt and pepper noise Removal”, National Conference on signal and image processing- NCSIP2012, Gandhi gram rural university, February 2012, pages 31-35.
K. K. Vasanth, S. Karthik, Sindu Divakaran "Removal of Salt & Pepper Noise Using Unsymmetrical Trimmed Variants as Detector", European journal of Scientific Research, Vol. 70 No. 3 (2012), pp. 468-478
S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam and C.H. Prem Chand, “Removal of high density Salt and pepper noise through modified decision based Unsymmetrical trimmed median filter.” IEEE Signal processing letters, Vol. 18, no.5, May 2011.
R. Pushpavalli, G.Sivaradje,” Switching Median Filter for Image Enhancement”, International Journal of Scientific & Engineering Research, Volume 3, Issue 2, February.2012.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.