[HTML][HTML] Methods for reducing visual discomfort in stereoscopic 3D: A review
Visual discomfort is a significant obstacle to the wider use of stereoscopic 3D displays. Many
studies have identified the most common causes of discomfort, and a rich body of literature …
studies have identified the most common causes of discomfort, and a rich body of literature …
Full-reference quality assessment of stereopairs accounting for rivalry
We develop a framework for assessing the quality of stereoscopic images that have been
afflicted by possibly asymmetric distortions. An intermediate image is generated which when …
afflicted by possibly asymmetric distortions. An intermediate image is generated which when …
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 …
Quality prediction of asymmetrically distorted stereoscopic 3D images
Objective quality assessment of distorted stereoscopic images is a challenging problem,
especially when the distortions in the left and right views are asymmetric. Existing studies …
especially when the distortions in the left and right views are asymmetric. Existing studies …
No-reference quality assessment for stereoscopic images based on binocular quality perception
Quality perception of 3-D images is one of the most important parameters for accelerating
advances in 3-D imaging fields. Despite active research in recent years for understanding …
advances in 3-D imaging fields. Despite active research in recent years for understanding …
MCL-3D: A database for stereoscopic image quality assessment using 2D-image-plus-depth source
A new stereoscopic image quality assessment database rendered using the 2D-image-plus-
depth source, called MCL-3D, is described and the performance benchmarking of several …
depth source, called MCL-3D, is described and the performance benchmarking of several …
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 …
3D-MAD: A full reference stereoscopic image quality estimator based on binocular lightness and contrast perception
Y Zhang, DM Chandler - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
Algorithms for a stereoscopic image quality assessment (IQA) aim to estimate the qualities of
3D images in a manner that agrees with human judgments. The modern stereoscopic IQA …
3D images in a manner that agrees with human judgments. The modern stereoscopic IQA …