Image quality assessment (IQA) aims to use computational models to measure the image
quality consistently with subjective evaluations. The well-known structural similarity index …

With the increasing demand for image-based applications, the efficient and reliable
evaluation of image quality has increased in importance. Measuring the image quality is of …

Researchers have recently found that the finger-knuckle-print (FKP), which refers to the
inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has …

Due to the emergency of multi-view cameras and commercial Light Field (LF) cameras, the
demand of high-performance LF quality evaluator is of great significance for guiding LF …

Visual neuroscientists have discovered fundamental properties of neural representation
through careful analysis of responses to controlled stimuli. Typically, different properties are …

Although the thalamus is believed to regulate and coordinate cortical activity both within and
across functional regions, such as motor and visual cortices, direct evidence for such …

Multispectral images enable robust night vision (NV) object assessment over day-night
conditions. Furthermore, colorized multispectral NV images can enhance human vision by …

Objective image quality assessment employs mathematical and computational theory to
objectively assess the quality of output images based on the human visual system (HVS). In …

Images are vulnerable to different kinds of distortions, such as blur, noise, blockiness etc,
which all degrade the image quality. Among the distorted images, out-of-focus blurred …

The concept of Image Phase Congruency (IPC) is deeply rooted in the way the human visual
system interprets and processes spatial frequency information. It plays an important role in …