The bilateral filter is a nonlinear filter that does spatial averaging without smoothing edges; it
has shown to be an effective image denoising technique. An important issue with the …

We review the evolution of the nonparametric regression modeling in imaging from the local
Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-domain …

Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were
proposed as locally adaptive machines for noise removal. Recently, Buades, Coll and Morel …

We study the denoising of signals from clipped noisy observations, such as digital images of
an under-or over-exposed scene. From a precise mathematical formulation and analysis of …

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 speckle noise complicates the human and automatic interpretation of synthetic aperture
radar (SAR) images. Thus, the reduction of speckle is critical in various SAR image …

In recent years, Bayes least squares-Gaussian scale mixtures (BLS-GSM) has emerged as
one of the most powerful methods for image restoration. Its strength relies on providing a …

The noise distribution of images obtained by X-ray sensors in low-dosage situations can be
analyzed using the Poisson and Gaussian mixture model. Multiscale conversion is one of …

Due to the accuracy limitation of the navigation system, deviations between the real
trajectory and the measured one appear inevitably in airborne synthetic aperture radar …

The non-local means (NLM) has attracted enormous interest in image denoising problem in
recent years. In this paper, we propose an efficient joint denoising algorithm based on …