The wavelet domain Wiener filter has been widely adopted as an effective image denoising
method that has low complexity. In this paper we propose a novel Wiener filter with high …

In this paper, we propose an adaptive multiple steps local Wiener filter image denoising
algorithm in the wavelet domain. This algorithm can be considered as a discretized …

Removal of noise is an important step in the image restoration process, and it remains a
challenging problem in image processing. Denoising is a process used to remove the noise …

A novel wavelet-domain diffusion scheme is proposed for image denoising. In the proposed
scheme, the shrinkage function plays an important role for denoising performance. By …

Compared with ordinary images, hyperspectral images (HSIs) consist of many bands that
can provide rich spatial and spectral information and are widely used in remote sensing …

Denoising is an indispensable function for digital cameras. In respect that noise is diffused
during the demosaicking, the denoising ought to work directly on bayer data. The difficulty of …

A novel local binary pattern (LBP) based adaptive diffusion for speckle noise reduction is
presented. The LBP operator unifies traditionally divergent statistical and structural models …

Removing noise from images is a challenging problem in digital image processing. This
paper presents an image denoising method based on a maximum a posteriori (MAP) density …

This paper presents a new image denoising algorithm based on wavelet transform and
nonlinear diffusion. Although the wavelet domain diffusion methods are very effective in …

Noise removal for images has received considerable attention in last several decades. A lot
of methods are proposed to deal with this problem. Nonlinear anisotropic diffusion methods …