International Journal of Advanced Research and Development

International Journal of Advanced Research and Development


International Journal of Advanced Research and Development
International Journal of Advanced Research and Development
Vol. 2, Issue 4 (2017)

An improvement in noise suppression from images using local thresholding based efficient weighted average filtering (LT-EWA) in image processing


Akshay Singh, Dr. Sanjeev Kumar, Bhushan Kumar

In this paper, we are using a filtering method for image sequence degraded by median filtering. In general, for the image sequence filtering, discrete wavelet compression (DWC) and EWA (efficient weighted average method) is required in order to obtain good compression performance both in the still and moving regions of image sequence. In this paper we propose a hybrid method which is detection phase where a modified Local thresholding weighted-average filter in outer boundary impulsive counter (LT-EWA) is used to detect impulse noise pixels and also consider the SSIM technique to improve peak signal noise ratio(PSNR) for pixel similarity index assignment and compared with base author technique(EWA) using MATLAB 2014Ra.
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How to cite this article:
Akshay Singh, Dr. Sanjeev Kumar, Bhushan Kumar. An improvement in noise suppression from images using local thresholding based efficient weighted average filtering (LT-EWA) in image processing. International Journal of Advanced Research and Development, Volume 2, Issue 4, 2017, Pages 64-68
International Journal of Advanced Research and Development International Journal of Advanced Research and Development