Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Traditional blind image quality assessment (IQA) measures generally predict quality from a
sole distorted image directly. In this paper, we first introduce multiple pseudo reference …

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

In this work we describe a Convolutional Neural Network (CNN) to accurately predict image
quality without a reference image. Taking image patches as input, the CNN works in the …

The topics of visual and audio quality assessment (QA) have been widely researched for
decades, yet nearly all of this prior work has focused only on single-mode visual or audio …

With the popularity of mobile Internet, audio and video (A/V) have become the main way for
people to entertain and socialize daily. However, in order to reduce the cost of media …

Audio information has been bypassed by most of current visual attention prediction studies.
However, sound could have influence on visual attention and such influence has been …

To enhance the visibility and usability of images captured in hazy conditions, many image
dehazing algorithms (DHAs) have been proposed. With so many image DHAs, there is a …

Different from ship detection from synthetic aperture radar (SDSAR) and ship detection from
spaceborne optical images (SDSOI), ship detection from visual image (SDVI) has better …