In this paper, a new bivariate shrinkage denoising method is proposed to model statistics of shearlet coefficients of images. Using Bayesian estimation theory we derive from this model a simple non-linear shrinkage function for shearlet denoising, which generalizes the soft threshold approach. Experimental results show that the proposed method can remove Gaussian white noise while effectively p...

BACKGROUND The aim of this retrospective study was to describe the distribution of the non-syndromal supernumerary teeth (NSST) in a population of patients who attended the clinics of Riyadh Colleges of Dentistry and Pharmacy (RCsDP), Riyadh, Saudi Arabia. MATERIALS AND METHODS The study reviewed 1521 panoramic radiographs of Saudi and non-Saudi subjects who attended RCsDP clinic from Novembe...

The main cause of skin cancer is the ultraviolet radiation sun. It spreads quickly to other body parts. Thus, early diagnosis required decrease mortality rate due cancer. In this study, an automatic system for Skin Lesion Classification (SLC) using Non-Subsampled Shearlet Transform (NSST) based energy features and Support Vector Machine (SVM) classifier proposed. At first, NSST used decompositi...

recent experiments on the spherical tokamak have discovered the conditions to create a powerful plasma and ensure easy shaping and amplification of stability, high bootstrap current and confinement energy. the spherical tours (st) fusion energy development path is complementary to the tokamak burning plasma experiment such as nstx and higher toroidal beta regimes and improves the design of a po...

Polarimetric SAR (POLSAR) and multispectral images provide different characteristics of the imaged objects. Multispectral provides information about surface material while POLSAR provides information about geometrical and physical properties of the objects. Merging both should resolve many of object recognition problems that exist when they are used separately. Through this paper, we propose a ...

Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional methods hardly achieve the effect of deep learning methods. Based processing techniques, this paper proposes a new hybrid model. The block-batching and 3-D filtering (BM3D) algorithm is used to obtain first denoised image. weighted kernel norm minimization (WNNM) non-subsa...

Spatial and spectral information are essential sources of in remote sensing applications, the fusion panchromatic multispectral images effectively combines advantages both. Due to existence two main classes methods—component substitution (CS) multi-resolution analysis (MRA), which have different advantages—mixed approaches possible. This paper proposes a algorithm that generalized intensity–hue...