Compared with traditional 2D images, stereoscopic omnidirectional images (SOIs) usually
have more complex perceptual factors due to the particularities of imaging and display …

The no-reference (NR) quality assessment for stereoscopic images plays a significant role in
3D technology, but it also faces great challenges. In this paper, a novel NR stereo image …

In order to effectively evaluate the quality of stereoscopic images, we propose a no-
reference stereoscopic image quality assessment (SIQA) method. Firstly, considering the …

In this paper, we propose a new two-column dense Convolutional Neural Network (CNN) for
stereoscopic image quality assessment. The input of one column is the cyclopean image …

With rapid development in three dimensional video technologies, quality assessment plays
an important role in the field of stereo image processing. In this paper, a new reduced …

Emerging 3D-related technologies such as augmented reality, virtual reality, mixed reality,
and stereoscopy have gained remarkable growth due to their numerous applications in the …

In order to apply the deep learning to the stereo image quality evaluation, two problems
need to be solved: The first one is that we have a bit of training samples, another is how to …

In this article, the authors present a method for assessing image quality in stereoscopic
images: QUALITAS. The proposed method is inspired by some features of the human visual …

Automatic or semi-automatic stereoscopic image quality assessment has arisen due to the
recent diffusion of a new generation of stereoscopic technologies and content demand …

The main objective of this work is to describe the state of the art of the Stereoscopic Image
Quality Assessments (SIQA) from recent years, thus, it covers a compendium of models from …