International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 33 - Number 10 |
Year of Publication: 2011 |
Authors: E.Jebamalar Leavline, S.Sutha, D.Asir Antony Gnana |
10.5120/4058-5842 |
E.Jebamalar Leavline, S.Sutha, D.Asir Antony Gnana . Wavelet Domain Shrinkage Methods for Noise Removal in Images: A Compendium. International Journal of Computer Applications. 33, 10 ( November 2011), 28-32. DOI=10.5120/4058-5842
This paper presents an overview of various threshold methods for image denoising. Wavelet transform based denoising techniques are of greater interest because of their performance over Fourier and other spatial domain techniques. Selection of optimal threshold is crucial since threshold value governs the performance of denoising algorithms. Hence it is required to tune the threshold parameter for better PSNR values. In this paper, we present various wavelet based shrinkage methods for optimal threshold selection for noise removal.