A novel image denoising algorithm in wavelet domain using total variation and grey theory
Hong‐jun Li, Zhimin Zhao, Xiaolei Yu · Engineering Computations · 2010
Purpose – The traditional total variation (TV) models in wavelet domain use thresholding directly in coefficients selection and show that Gibbs' phenomenon exists. However, the nonzero coefficient index set selected by hard thresholding techniques may not be the best choice to obtain the least oscillatory reconstructions near edges. This paper aims to propose an image denoising method based on TV and grey theory in the wavelet domain to solve the defect of traditional methods.