Perceptual image quality assessment (IQA) aims to use computational models to measure
the image quality in consistent with subjective evaluations. Visual saliency (VS) has been …

Multimodal streams of sensory information are naturally parsed and integrated by humans
using signal-level feature extraction and higher level cognitive processes. Detection of …

In this paper, we propose an efficient blind image quality assessment (BIQA) algorithm,
which is characterized by a new feature fusion scheme and a k-nearest-neighbor (KNN) …

Perceptual quality metrics are widely deployed in image and video processing systems.
These metrics aim to emulate the integral mechanisms of the human visual system (HVS) to …

Thematic maps are commonly used for visualizing the density of events in spatial data.
However, these maps can mislead by giving visual prominence to known base rates (such …

The purpose of this paper is to demonstrate a perceptually based spatio-temporal
computational framework for visual saliency estimation. We have developed a new spatio …

Since visual attention-based computer vision applications have gained popularity, ever
more complex, biologically inspired models seem to be needed to predict salient locations …

Human attention is highly influenced by multi-modal combinations of perceived sensory
information and especially audiovisual information. Although systematic behavioral …

A recent development in the area of image and video quality consists of trying to incorporate
aspects of visual attention in the design of visual quality metrics, mostly using the …

As one of indispensable steps in vision applications, the evaluation of the perceptual quality
of an image attracts significant attention in recent years. This paper presents an image …