This study presents a comprehensive survey on mixed impulse and Gaussian denoising
filters which are applied to an image in order to gauge the effects of this type of noise …

Image denoising technologies in a Euclidean domain have achieved good results and are
becoming mature. However, in recent years, many real-world applications encountered in …

Although image denoising as a basic task of image restoration has been widely studied in
the past decades, there are not many studies on mixed noise denoising. In this paper, we …

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 …

In this paper, a novel approach to the mixed Gaussian and impulsive noise reduction in
color images is proposed. The described denoising framework is based on the Non-Local …

In this paper, we present an innovative mechanism for image restoration problems in which
the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse …

Occlusion, real disguise and illumination are still the common difficulties encountered in face
recognition. The sparse representation based classifier (SRC) has shown a great potential …

Many image-denoising approaches seek to remove either additive white Gaussian noise
(AWGN) or impulse noise (IN), because both types are easier to process when considered …

With the development of computer technology, the related achievements of image
processing have been applied. Among them, the results of automatic target detection and …

In recent years, the sparse coding-based techniques have been widely used for image
denoising. However, most of the sparse coding-based mixed noise reduction methods fail to …