CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …

This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding
function for image denoising based on the generalized Gaussian distribution. It applies …

Biomedical image denoising systems are important for accurate clinical diagnosis. The
purpose of this study is to present a simple and effective iterative multistep image denoising …

This paper presents a novel wavelet-domain color image enhancement using filtered
directional bases and frequency-adaptive shrinkage. Most traditional noise reduction …

The accurate segmentation of subcortical brain structures in magnetic resonance (MR)
images is of crucial importance in the interdisciplinary field of medical imaging. Although …

To overcome crosstalk effects in operational transfer path analysis (OTPA) for effective
identification and evaluation of vibration transfer path contributions based on measured …

Generating granular-scale surface albedo data is extremely important for solar photovoltaic
site planning and to optimise renewable energy yield of bifacial panel installations. The …

Dimensionality reduction techniques are powerful tools for face recognition, because they
obtain important information from a dataset. Several dimensionality reduction methods …

An image denoising algorithm via wiener filtering in the shearlet domain is proposed in this
paper, it makes full use of the advantages of them. Shearlets have the features of …

Computed Tomography (CT) is streamlined in radiological diagnostics and has become an
imperative tool in medical examinations. The difficulty that arises with the demand is to …