Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network
In this paper, we propose to learn the structures of stereoscopic image based on
convolutional neural network (CNN) for no-reference quality assessment. Taking image …
convolutional neural network (CNN) for no-reference quality assessment. Taking image …
Blind stereoscopic video quality assessment: From depth perception to overall experience
Stereoscopic video quality assessment (SVQA) is a challenging problem. It has not been
well investigated on how to measure depth perception quality independently under different …
well investigated on how to measure depth perception quality independently under different …
Communication characteristics of large-scale scientific applications for contemporary cluster architectures
This paper examines the explicit communication characteristics of several sophisticated
scientific applications, which, by themselves, constitute a representative suite of publicly …
scientific applications, which, by themselves, constitute a representative suite of publicly …
Full-reference quality assessment of stereoscopic images by learning binocular receptive field properties
Quality assessment of 3D images encounters more challenges than its 2D counterparts.
Directly applying 2D image quality metrics is not the solution. In this paper, we propose a …
Directly applying 2D image quality metrics is not the solution. In this paper, we propose a …
Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment
We develop a new model for no-reference 3D stereopair quality assessment that considers
the impact of binocular fusion, rivalry, suppression, and a reverse saliency effect on the …
the impact of binocular fusion, rivalry, suppression, and a reverse saliency effect on the …
2D and 3D image quality assessment: A survey of metrics and challenges
Y Niu, Y Zhong, W Guo, Y Shi, P Chen - IEEE Access, 2018 - ieeexplore.ieee.org
Image quality is important not only for the viewing experience, but also for the performance
of image processing algorithms. Image quality assessment (IQA) has been a topic of intense …
of image processing algorithms. Image quality assessment (IQA) has been a topic of intense …
3D panoramic virtual reality video quality assessment based on 3D convolutional neural networks
Virtual reality (VR), a new type of simulation and interaction technology, has aroused
widespread attention and research interest. It is necessary to evaluate the VR quality and …
widespread attention and research interest. It is necessary to evaluate the VR quality and …
A blind stereoscopic image quality evaluator with segmented stacked autoencoders considering the whole visual perception route
Most of the current blind stereoscopic image quality assessment (SIQA) algorithms cannot
show reliable accuracy. One reason is that they do not have the deep architectures and the …
show reliable accuracy. One reason is that they do not have the deep architectures and the …
Toward a blind deep quality evaluator for stereoscopic images based on monocular and binocular interactions
During recent years, blind image quality assessment (BIQA) has been intensively studied
with different machine learning tools. Existing BIQA metrics, however, do not design for …
with different machine learning tools. Existing BIQA metrics, however, do not design for …
No-reference stereoscopic image quality assessment using natural scene statistics
We present two contributions in this work:(i) a bivariate generalized Gaussian distribution
(BGGD) model for the joint distribution of luminance and disparity subband coefficients of …
(BGGD) model for the joint distribution of luminance and disparity subband coefficients of …