In this paper, a novel image quality assessment (IQA) model for the screen content image s
(SCIs) is proposed by using multi-scale difference of Gaussian (MDOG). Motivated by the …

Objective visual quality assessment specific for screen content images (SCIs) has been
increasingly investigated over the years. In this paper, an effective full-reference quality …

In this paper, an accurate full-reference image quality assessment (IQA) model developed
for assessing screen content images (SCIs), called the edge similarity (ESIM), is proposed. It …

In this letter, we make the first attempt to explore the usage of the gradient direction to
conduct the perceptual quality assessment of the screen content images (SCIs). Specifically …

Most existing convolutional neural network (CNN) based models designed for natural image
quality assessment (IQA) employ image patches as training samples for data augmentation …

Research on screen content images (SCIs) attracts more attention as they are highly applied
to image-and video-centric applications on mobile and other devices. It is important to …

Unlike natural image captured with cameras, screen content image (SCI) is a composite
image including textual and pictorial regions. The different characteristics lead to many …

Since the human visual system (HVS) is highly sensitive to edges, a novel image quality
assessment (IQA) metric for assessing screen content images (SCIs) is proposed in this …

In this paper, an accurate and efficient full-reference image quality assessment (IQA) model
using the extracted Gabor features, called Gabor feature-based model (GFM), is proposed …

Research on screen content images (SCIs) becomes important as they are increasingly
used in multi-device communication applications. In this paper, we present a study on …