A Better Thresholding Technique For ImageDenoising Based On Wavelet Transform
B Sudharani · International Journal of Innovative Research in Computer and Communication Engineering · 2015
Wavelet transforms enable us to represent signals with a high degree of scarcity. Wavelet thresholding is a signal estimation technique that exploits the capabilities of wavelet transform for signal denoising. The aim of this project was to study various thresholding techniques such as SureShrink, VisuShrink and BayesShrink and determine the best one for image denoising