Several human visual system (HVS) based quality metrics have been developed in recent years to measure the quality distortions caused by digital image coding techniques. Because of the complicated nature of the HVS characteristics, these metrics do not provide acceptable correlation with perceptual evaluations of the distortion. Recent studies by the Visual Quality Experts Group (VQEG) also sho...

Multiwavelet has some important properties such as orthogonality, symmetry, and short support, which make up for the shortcoming of scalar wavelet. In this paper, we consider the problem of improving the performance of multiwavelet-based image coders combining human visual syetem (HVS). By taking into account the imperfections inherent to the HVS, HVS weighting is designed to achieve higher com...

The Hidden Vector State (HVS) model extends the basic Hidden Markov Model (HMM) by encoding each state as a vector of stack states but with restricted stack operations. The model uses a right branching stack automaton to assign valid stochastic parses to a word sequence from which the language model probability can be estimated. The model is completely data driven and is able to model classes f...

Otoneurological and respiratory tests were performed on 32 patients after whiplash injury caused by a rear-end car collision. Oculomotor and cervico-ocular test results were generally normal. In a significantly large number of case, the vestibulo-ocular reflex (VOR) was hyperactive (n = 17; 53%) and the respiratory test results were typical of the hyperventilation syndrome (HVS) (n = 12; 38%). ...

Grayscale halftoning converts a continuous-tone image (e.g., 8 bits per pixel) to a lower resolution (e.g., 1 bit per pixel) for printing or display. Grayscale halftoning by error diffusion uses feedback to shape the quantization noise into high frequencies where the human visual system (HVS) is least sensitive. In color halftoning, the application of grayscale error-diffusion methods to the in...

Connected and automated vehicles (CAVs) human-driven (HVs) are expected to coexist in the near future. CAV-dedicated lanes phases have been explored handle uncertainty driving behavior of HVs mixed traffic environment. However, could significantly sacrifice HV benefits. This study proposes a shared-phase-dedicated-lane (SPDL)-based control model at an isolated intersection with CAV dedicated In...

Abstract Adversarial images are able to fool the Deep Neural Network (DNN) based visual identity recognition systems, with potential be widely used in online social media for privacy-preserving purposes, especially edge-cloud computing. However, most of current techniques adversarial attacks focus on enhancing their ability attack without making a deliberate, methodical, and well-researched eff...