• Dr.M.Renuka Devi
• P Aravindan

The quality of image is spoiled by various types of noise and it can be removed by different filtering mechanism. These mechanisms help to maintain the quality of the image and also increase the SNR (Signal-to-Noise Ratio) value. This research introduced a new filter Binary Window coupling median filter (BWCMF) to improve the quality and reduce the computation time. The proposed effectively suppresses the impulse noise in the image whiles preserving the image edges information, lower processing time and enhancing the image quality. The proposed filter compared with Mean, Median and winner filter. The performance of this algorithm is measured by PSNR and MSE (Mean Square Error). The result shows that the proposed filter increases the PSNR value and reduces MSE (Mean Square Error) metric values and produces good results.

Mean Filter, Median filter and Winner filter

"DE-NOISING OF STEEL PLATES USING BINARY WINDOW COUPLING MEDIAN FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.62-68, February-2019, Available :http://www.jetir.org/papers/JETIR1902409.pdf

"DE-NOISING OF STEEL PLATES USING BINARY WINDOW COUPLING MEDIAN FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp62-68, February-2019, Available at : http://www.jetir.org/papers/JETIR1902409.pdf