Perceptual image quality assessment: a survey
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 …
to the existence of quality degradations introduced in various stages of visual signal …
No-reference virtual reality image quality evaluator using global and local natural scene statistics
AKR Poreddy, RBC Ganeswaram… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the rapid proliferation of virtual reality (VR) technologies, the usage of VR in
multimedia, education, and social media platforms has increased due to realistic and …
multimedia, education, and social media platforms has increased due to realistic and …
No-reference stereoscopic image quality assessment based on global and local content characteristics
No-reference stereoscopic images quality assessment (NR-SIQA) via deep learning has
gained increasing attention. In this paper, we propose a no-reference stereoscopic image …
gained increasing attention. In this paper, we propose a no-reference stereoscopic image …
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 …
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 …
Reduced reference stereoscopic image quality assessment using sparse representation and natural scene statistics
Z Wan, K Gu, D Zhao - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
An ideal quality assessment model should simulate the properties of the visual brain to be
consistent with human evaluation. The visual brain appears to have both evolved to seek an …
consistent with human evaluation. The visual brain appears to have both evolved to seek an …
Predicting stereoscopic image quality via stacked auto-encoders based on stereopsis formation
Most previous 2-D and 3-D image quality evaluators were based on shallow architectures.
Their shallow architectures cannot model phenomenon occurring in human visual systems …
Their shallow architectures cannot model phenomenon occurring in human visual systems …
Study of subjective quality and objective blind quality prediction of stereoscopic videos
We present a new subjective and objective study on full high-definition (HD) stereoscopic
(3D or S3D) video quality. In the subjective study, we constructed an S3D video dataset with …
(3D or S3D) video quality. In the subjective study, we constructed an S3D video dataset with …
CoDIQE3D: A completely blind, no-reference stereoscopic image quality estimator using joint color and depth statistics
AKR Poreddy, PA Kara, RR Tamboli, A Simon… - The Visual …, 2023 - Springer
In this paper, we present an unsupervised, completely blind, no-reference (NR) stereoscopic
(S3D) image quality prediction model to assess the perceptual quality of natural S3D …
(S3D) image quality prediction model to assess the perceptual quality of natural S3D …
Blind stereoscopic 3D image quality assessment via analysis of naturalness, structure, and binocular asymmetry
Over recent years, stereoscopic three dimensional (S3D) images have grown explosively
and received increasing attention. Quality assessment, as the fundamental problem, plays …
and received increasing attention. Quality assessment, as the fundamental problem, plays …