Due to present of enormous free image and video editing software on the Internet, tampering
of digital images and videos have become very easy. Validating the integrity of images or …

We propose a framework for the denoising of videos jointly corrupted by spatially correlated
(ie, nonwhite) random noise and spatially correlated fixed-pattern noise. Our approach is …

In this paper, a new fuzzy filter for the removal of random impulse noise in color video is
presented. By working with different successive filtering steps, a very good tradeoff between …

We propose an efficient orthonormal wavelet-domain video denoising algorithm based on
an appropriate integration of motion compensation into an adapted version of our recently …

There are many cases in which the noise corrupts the signals in a significant manner. To
better analyze these signals, the noise must be removed from the signals for further data …

In this paper, a new quaternion vector filter for removal of random impulse noise in color
video sequences is presented. First, luminance distances and chromaticity differences that …

We propose the methods, involving a denoiser and a tone mapper, that especially enhance
very dark image sequences having an extremely small signal-to-noise ratio (SNR). The …

I present a family of algorithms to reduce noise in astrophysical images and image
sequences, preserving more information from the original data than is retained by …

A video denoising algorithm, which is based on dynamic nonlocal means (DNLM), is
developed. Firstly, the standard nonlocal means and Kalman filtering are reviewed briefly …

We propose a video denoising method based on a spatiotemporal Kalman‐bilateral mixture
model to reduce the noise in video sequences that are captured with low light. To take full …