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 …

Synthetic aperture radar (SAR) images often interfere with speckle artifacts that have a great
impact on subsequent processing and analysis operations. To remove speckle artifacts, this …

Medical image fusion aims at preserving salient image features, reducing the redundancy,
and increasing the interpretation quality of images in clinical applications eg image-guided …

Used in a wide variety of transform based statistical image processing techniques, the
hidden Markov tree (HMT) model with Gaussian mixtures is typically employed to capture …

The main goals of denoising are to improve the signal-to-noise-ratio (SNR) and to preserve
the informative features such as edges and textures. Aiming at reducing Gibbs-type artifacts …

Here, a novel, yet simple, transform‐based watermarking scheme for copyright protection
has been proposed. The proposed method takes advantage of the rotation invariant property …

Suppressing noise and preserving detail information such as edges and textures are two
key challenges in image denoising. In this paper, a new method for eliminating noise from …

Noises and artifacts are introduced in medical images during the process of imaging and
transmission, resulting in reduced definition and lack of detail. Therefore, a contrast …

Ultrasound imaging is undoubtedly the most used imaging modality for diagnostic purposes.
Unfortunately, it is accompanied by speckle which can degrade texture information by …

A solution to the problem of reducing the noise of grayscale images is presented. To
consider the intrascale and interscale dependencies, this study makes use of a model. It is …