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Modified Adaptive Median Filter for Salt & Pepper Noise
SUKHWINDER SINGH, DR. NEELAM RUP PRAKASH Ph.D Scholar, Electronics and Electrical Comm .Deptt.,PEC University of Technology, Chandigarh (India) Ph.D Supervisor, Electronics and Electrical Comm .Deptt.,PEC University of Technology, Chandigarh (India)
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Abstract: In this paper, an image denoising filter for salt & pepper noise is proposed. We introduced a ROAD (Rank Order Absolute Difference) statistics in this filter to identify the noisy pixels in image corrupted with salt & pepper noise. ROAD statistics values quantify how different in intensity the particular pixels are from their most similar neighbours. After identify the presence of impulse noise, adaptive window filtering concept is used to filter the salt & pepper noise. To evaluate the performance of proposed filter, both quantitative and qualitative techniques are used and a comparison is carried out between proposed filter and other standard filters, it is observed from experimental results that proposed filter performs remarkably well in filtering and preserving the image detail as compared to well known standard filters.
Keywords: Adaptive window, Impulse noise, Median, PSNR, ROAD,UQI.
Keywords: Adaptive window, Impulse noise, Median, PSNR, ROAD,UQI.
How to Cite:
[1] SUKHWINDER SINGH, DR. NEELAM RUP PRAKASH Ph.D Scholar, Electronics and Electrical Comm .Deptt.,PEC University of Technology, Chandigarh (India) Ph.D Supervisor, Electronics and Electrical Comm .Deptt.,PEC University of Technology, Chandigarh (India), “Modified Adaptive Median Filter for Salt & Pepper Noise,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
