We propose a novel image denoising strategy based on an enhanced sparse representation
in transform domain. The enhancement of the sparsity is achieved by grouping similar 2D …

Nonlocal self-similarity of images has attracted considerable interest in the field of image
processing and has led to several state-of-the-art image denoising algorithms, such as block …

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 …

In this paper, a comprehensive method using symmetric normal inverse Gaussian (NIG)
parameters of the sub-bands of EEG signals calculated in the dual-tree complex wavelet …

Image denoising can remove natural noise that widely exists in images captured by
multimedia devices due to low-quality imaging sensors, unstable image transmission …

We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture
model in the wavelet transform domain. This model simultaneously captures the local …

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 …

Self‐similarity, a prior of natural images, has attracted much attention. The attribute means
that low‐rank group matrices can be constructed from similar image patches. For low‐rank …

Existing image and video denoising algorithms have focused on removing homogeneous
Gaussian noise. However, this assumption with noise modeling is often too simplistic for the …