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High Density Noise Suppression Using Modified Weighted Average Filtering
R.Gayathri1, D.P Sangeetha2, Uday Bikram Yadav3

1Dr. R.Gayathri, Department of ECE, Anna University, Sona College of Technology, Salem (Tamil Nadu), India.
2D.P Sangeetha, Professor, Department of ECE, Anna University, Sona College of Technology, Salem (Tamil Nadu), India.
3Uday Bikram Yadav, Department of ECE, Anna University, Sona College of Technology, Salem (Tamil Nadu), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1258-1261 | Volume-8 Issue-7, May 2019 | Retrieval Number: E3254038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, High density noise is suppressed by using Modified weighted Average Filter. The new method suppresses noise in two steps. At first, all the corrupted pixels are detected by using impulse detection, and this corrupted pixels are applied for image correction, where distance transform and index array is computed, which contains the linear index of the nearest non zero pixels of noisy pixels and distance, this index array also contain closest pixel map(CPM),and initial image is obtain from bilinear interpolation and applied to weighted average filter, where new weight are recalibrate by replacing noisy pixels with new intensity values. Simulation results shows that the output of Weighted Average Filter provides better image visual quality with low PSNR value.
Keyword: Average Filtered, CPM, Impulse Detection, Image Correction, Initial Image, Index Array, Weighted Average Filter.
Scope of the Article: High Performance Computing.