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Bspline Interpolation Filter Approach for Reduction of Heavily Corrupted by Salt-and-Pepper Noise in Images


Affiliations
1 Dept of ECE, M V Institute of Technology, Pondicherry, India
2 Dept of ECE, M V Institute of Technology, Pondicherry, India
     

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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

Salt and Pepper Noise, Image Denoising, New Bsplines.
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  • Bspline Interpolation Filter Approach for Reduction of Heavily Corrupted by Salt-and-Pepper Noise in Images

Abstract Views: 134  |  PDF Views: 3

Authors

P. Senthamizhselvi
Dept of ECE, M V Institute of Technology, Pondicherry, India
V. Rajesh
Dept of ECE, M V Institute of Technology, Pondicherry, India

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


Salt and Pepper Noise, Image Denoising, New Bsplines.