The quality of realism in virtual environments (VEs) is typically considered to be a function of visual and audio fidelity mutually exclusive of each other. However, the VE participant, being human, is multimodal by nature. Therefore, in order to validate more accurately the levels of auditory and visual fidelity that are required in a virtual environment, a better understanding is needed of th...

Accurate measurement of the perceived quality of audio–visual services at the end-user is becoming a crucial issue in digital applications due to the growing demand for compression and transmission of audio–visual services over communication networks. Content providers strive to offer the best quality of experience for customers linked to their different quality of service (QoS) solutions. Ther...

Visual Cryptography (VC) has been developed to encode a secret image into n shares for n participants in the past decades, in which each share is treated with the same priority. However, the privilege for participants in a group is not always the same. In this paper, a weighted visual cryptography scheme is proposed such that each participant obtains her/his share with different weight accordin...

Advances in image quality assessment have shown the benefits of modelling functional components of the human visual system in image quality metrics. Visual saliency, a crucial aspect of the human visual system, is increasingly investigated recently. Current applications of visual saliency in image quality metrics are limited by our knowledge on the relation between visual saliency and quality p...

Sensory reweighting is a characteristic of postural control functioning adopted to accommodate environmental changes. The use of mono or binocular cues induces visual reduction/increment of moving room influences on postural sway, suggesting a visual reweighting due to the quality of available sensory cues. Because in our previous study visual conditions were set before each trial, participants...

In this work, we investigate the benefits of incorporating saliency maps obtained with visual attention computational models into three image quality metrics. In particular, we compare the performance of simple quality metrics with quality metrics that incorporate saliency maps obtained using three popular visual attention computational models. Results show that performance of simple quality me...

In this paper, we propose two novel algorithms, namely intensity selection (IS) and connection selection (CS), that can be applied to the existing halftone image data hiding algorithms DHSPT, DHPT and DHST to achieve improved visual quality. The proposed algorithms generalize the hidden data representation and select the best location out of a set of candidate locations for the application of D...

A number of image quality metrics are based on psychophysical models of the human visual system. We propose a new framework for image quality assessment, gathering three indexes describing the image quality in terms of visual performance, visual appearance, and visual attention. These indexes are built on three vision models grounded on psychophysical data: we use models from Mantiuk et al. (vi...

Research on visual quality assessment has been active during the last decade. In this work, we provide an in-depth review of recent developments in the field. As compared with existing survey papers, our current work has several unique contributions. First, besides image quality databases and metrics, we put equal emphasis on video quality databases and metrics as this is a less investigated ar...

isovist and visibility graph analysis tools are used to quantify and measure the quality of space, and despite their lack of maturity and evolution, they are considered to be the future of space analysis tools by researchers. this study was undertaken with the purpose of introducing the aforementioned tools for analyzing sanandaj’s urban areas. in this study, four different urban areas in sanan...