We propose a data-dependent denoising procedure to restore noisy images. Different from
existing denoising algorithms which search for patches from either the noisy image or a …

We propose an adaptive learning procedure to learn patch-based image priors for image
denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a …

Filtering multi-dimensional images such as color images, color videos, multispectral images
and magnetic resonance images is challenging in terms of both effectiveness and efficiency …

Many existing non-local means (NLM) methods either use Euclidean distance to measure
the similarity between patches, or compute weight ω ij only once and keep it unchanged …

In this paper, we develop an extensive research on different types of grayscale images
applying standard non local (NL)-means algorithm on different search and patch windows …

Accurate alignment is crucial for video denoising. However, estimating alignment in noisy
environments is challenging. This paper introduces a cascading refinement video denoising …

How to suppress and remove the speckle of SAR image has been a hot research issue.
Combining the advantages of non-subsample Shearlet transform (NSST) with the …

SAR images have been widely used in many fields such as military and remote sensing. So
the suppression of the speckle has been an important research issues. To improve the …

This paper first introduces several unbiased distances to measure the similarity between
image pixels and between image patches. Based on these unbiased distances, we propose …

With the explosion in the number of digital images taken every day, people are demanding
more accurate and visually pleasing images. However, the captured images by modern …