This work addresses the recovery of an image from noisy observations when multiple noisy
copies of the image are available. The standard method is to compute the average of these …

This correspondence addresses the recovery of an image from its multiple noisy copies. The
standard method is to compute the weighted average of these copies. Since the wavelet …

We describe a novel method of removing additive white noise of known variance from
photographic images. The method is based on a characterization of the statistical properties …

The problem of reconstructing digital images from degraded measurement is regarded as a
problem of importance in various fields of engineering and imaging sciences. The main goal …

Recent years have seen the development of signal denoising algorithms based on the
wavelet transform. It has been shown that thresholding the wavelet coefficients of a noisy …

Wavelet based techniques have been used for a number of years to de-noise images. By
means of the wavelet packet analysis, the low frequency part and high frequency part of the …

Coupling the periodic time-invariance of the wavelet transform, with a view to thresholding
as a projection, yields a simple, recursive, wavelet-based technique for denoising signals …

In order to preserve fine details in image denoising, we propose a scheme by assuming that
the deviations of the noisy and the original wavelet coefficients of image are not always the …

The denoising of a natural image corrupted by Gaussian noise is a long established
problem in signal or image processing Even though much work has been done in the field of …

In this paper, a new algorithm for removing noise from digital images, based on the
Stationary Wavelet Transform and Mathematic Morphology, is proposed. The level …