This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

This paper describes a novel method to enhance underwater images by image dehazing.
Scattering and color change are two major problems of distortion for underwater imaging …

In the classical bilateral filter, a fixed Gaussian range kernel is used along with a spatial
kernel for edge-preserving smoothing. We consider a generalization of this filter, the so …

In this paper, a fragile watermarking scheme for color-image authentication and self-
recovery is proposed. Original image is divided into non-overlap** blocks, and for each i …

Edge preserving filters preserve the edges and its information while blurring an image. In
other words they are used to smooth an image, while reducing the edge blurring effects …

Reducing noise has always been one of the standard problems of the image analysis and
processing community. Often though, at the same time as reducing the noise in a signal, it is …

Image denoising methods have been implemented in both spatial and transform domains.
Each domain has its advantages and shortcomings, which can be complemented by each …

The dehazing techniques designed so far are not so-effective at preserving texture details,
especially in case of a complex background and large haze gradient image. Therefore, the …

Convolutional neural network (CNN) has been widely adopted in various research fields of
computer science. Combining the process of feature extracting and classification, CNN …