Cognitive load detection during the mental assignment of neural activity is necessary
because it helps to understand the brain's response to stimuli. An electroencephalogram …

In real-world surveillance scenario, the face recognition (FR) systems pose a lot of
challenges due to the captured low-resolution (LR) and noisy probe images. A new face …

In surveillance scenarios, the captured face images are often of low-resolution and
contaminated by Gaussian noise. Noise creates problems in weighted linear representation …

In recent years, face hallucination (FH) techniques are developed to generate the high-
resolution (HR) version of the captured blurry low-resolution face images. The popular FH …

In surveillance scenario the captured face may be of small size, low-quality, low-resolution
and noisy. Noise introduces outliers in the captured face images which cause problems in …

In several real-world scenario, the recorded pictures often have various artifacts suchlike
blur, noise, varying illuminations, occlusion, etc. due to many reasons including cheap and …

Many patch-based facial image super-resolution (or hallucination) techniques have been
proposed in literature but all of them fail in the presence of high-density impulse noise and …

Outdoor images taken in the foggy or haze weather conditions are usually contaminated due
to the presence of turbid medium in the atmosphere. Moreover, images captured under …

Faces captured under an uncontrolled environment usually have low-resolution (LR) in
addition to poor illumination conditions and uncontrolled poses. These types of images …

The previous couple decades have seen extensive study in digital image recovery. Content-
based image retrieval finds intellectually and aesthetically similar images to the query …