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
Author(s): Akshay Singh, Dr. Sanjeev Kumar, Bhushan Kumar
Abstract: 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.