In this paper, we propose an advanced framework for image denoising using bilateral
filtering based non-subsampled shearlet transform (NSST). Initially, we apply the NSST to …

The denoising of a natural image corrupted by additive Gaussian white noise is a classical
problem in image processing. A new image denoising method is proposed by using the …

Shearlet is a new effective signal representation tool in many image applications. A novel
image denoising scheme based on Shearlet transform is proposed in this paper. The …

Denoising of images is one of the most basic tasks of image processing. It is a challenging
work to design a edge/texture-preserving image denoising scheme. Nonsubsampled …

This paper proposed a new image denoising method on local Wiener filter. Firstly,
nonsubsampled shearlet transform (NSST) is used to decompose noisy image since NSST …

In this paper, an image denoising method is proposed which uses sparse un-mixing by
variable splitting and augmented Lagrangian (SUnSAL) classifier in the non-subsampled …

In this work, a non-subsampled shearlet transform (NSST) based anisotropic diffusion
method is proposed. In the proposed method, the NSST transform is firstly applied to the …

This correspondence proposes an efficient algorithm for removing Gaussian noise from
corrupted image by incorporating a wavelet-based trivariate shrinkage filter with a spatial …

The Gaussian filter is a local and linear filter that smoothes the whole image irrespective of
its edges or details, whereas the bilateral filter is also a local but non-linear, considers both …

To overcome the problem of image de-noising, a novel technique based on non-
subsampled shearlet transform (NSST) and intuitionistic fuzzy entropy (IFE) is proposed in …