Due to its noninvasive character, optical coherence tomography (OCT) has become a
popular diagnostic method in clinical settings. However, the low-coherence interferometric …

In the past decade, tensors have become increasingly attractive in different aspects of signal
and image processing areas. The main reason is the inefficiency of matrices in representing …

In this paper a statistical modeling, based on stochastic differential equations (SDEs), is
proposed for retinal Optical Coherence Tomography (OCT) images. In this method, pixel …

Super-resolution (SR) is a technique for recovering image details based on available
information, avoiding image quality degradation by increasing an image's resolution …

In this paper, a full-reference video quality assessment (VQA) model is designed for the
perceptual quality assessment of the screen content videos (SCVs), called the hybrid …

Radiotherapy is the main treatment modality for various pelvic malignancies. However, high
intensity radiation can damage the functional bone marrow (FBM), resulting in hematological …

Optical coherence tomography (OCT) is a non-invasive and effective tool for the imaging of
retinal tissue. However, the heavy speckle noise, resulting from multiple scattering of the …

Spectral-domain optical coherence tomography (SD-OCT) images inevitably suffer from
multiplicative speckle noise caused by random interference. This study proposes an …

This paper suggests a novel hybrid tensor-ring (TR) decomposition and first-order tensor-
based total variation (FOTTV) model, known as the TRFOTTV model, for super-resolution …

Early detection of sickness can help decrease mortality in Lung cancer. Cancer is one of the
major reasons for the increase in mortality rate globally. The biomedical image processing …