Ranking of hybrid algorithms for wavelet based denoising

Abstract

Noise is an inevitable factor in an image. Several methods have been proposed to remove noise from an image. Of those wavelet transform based denoising is found to be remarkable since it works on different resolution levels. In this model different hybrid threshold have been proposed and experimented for Gaussian noise of different variance. These threshold algorithms are ranked based on their Signal to Noise Ratio(SNR) and Root Mean Square Error (RMSE) and the best threshold algorithm is suggested for denoising an image.