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Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning

Tsung-Jung Liu, Ching-Ti Lin, Hsin-Hua Liu, Soo-Chang Pei
2019 IEEE Access  
We proposed a blind image quality assessment model which used classification and prediction for three-dimensional (3D) image quality assessment (denoted as CAP-3DIQA) that can automatically evaluate the  ...  INDEX TERMS Hierarchical learning, image quality assessment, no reference, stereoscopic images. 8058 2169-3536  ...  The details of the blind stereoscopic image quality assessment model that we proposed are described in the following subsections. A.  ... 
doi:10.1109/access.2018.2890304 fatcat:stge3igiqzf7vptqnllwwbu3q4

Blind Stereoscopic Image Quality Assessment Accounting for Human Monocular Visual Properties and Binocular Interactions

Yun Liu, Weiqing Yan, Zhi Zheng, Baoqing Huang, Hongwei Yu
2020 IEEE Access  
Bovik for providing the LIVE 3D IQA Databases, and University of Southern California for providing the MCL 3D IQA Database.  ...  Besides, color related artifacts also play an important role in visual discomfort estimation for stereoscopic image quality perception, which should be considered in stereoscopic image quality assessment  ...  The flowchart of the proposed stereoscopic image quality assessment model.  ... 
doi:10.1109/access.2020.2974006 fatcat:bvuehjpmmfdozmdnokgp6zmipy

Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement [article]

Jiahua Xu, Wei Zhou, Zhibo Chen, Suiyi Ling, Patrick Le Callet
2020 arXiv   pre-print
In this paper, we develop a Predictive Auto-encoDing Network (PAD-Net) for blind/No-Reference stereoscopic image quality measurement.  ...  Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents.  ...  In blind stereoscopic image quality assessment, it is difficult to predict the MOS value precisely [52] .  ... 
arXiv:1909.01738v3 fatcat:hyy76v5gzzc55boghj62vtix3i

Software-Assisted Depth Analysis of Optic Nerve Stereoscopic Images in Telemedicine

Tian Xia, Shriji N. Patel, Ben C. Szirth, Anton M. Kolomeyer, Albert S. Khouri
2016 International Journal of Telemedicine and Applications  
We tested depth analysis software (DAS) in assessing optic nerve cup-to-disc ratio (VCD) from stereoscopic optic nerve images (SONI) of normal eyes.Methods.  ...  The difference between stereoscopic and DAS assisted was not significant (p=0.45). ICCC showed agreement between stereoscopic and software VCD assessment.  ...  Image stereoscopic quality was adequate in all subjects for high fidelity analysis by clinician and software.  ... 
doi:10.1155/2016/7603507 pmid:27190507 pmcid:PMC4848414 fatcat:54s2pv3hd5crdf25bzwfdvv5mu

Subjective evaluation of stereoscopic image quality

Anush Krishna Moorthy, Che-Chun Su, Anish Mittal, Alan Conrad Bovik
2013 Signal processing. Image communication  
Stereoscopic/3D image and video quality assessment (IQA/VQA) has become increasing relevant in today's world, owing to the amount of attention that has recently been focused on 3D/stereoscopic cinema,  ...  Important tools in the study of the quality of 3D visual signals are databases of 3D image and video sets, distorted versions of these signals and the results of large-scale studies of human opinions of  ...  masking-thereby making SSIM a better measure for 2D quality assessment.  ... 
doi:10.1016/j.image.2012.08.004 fatcat:dsgesvwjwvhydk6j7gnfc7esqq

Stereoscopic image quality assessment method based on binocular combination saliency model

Yun Liu, Jiachen Yang, Qinggang Meng, Zhihan Lv, Zhanjie Song, Zhiqun Gao
2016 Signal Processing  
Stereoscopic image quality assessment method based on binocular combination saliency model.  ...  Abstract The objective quality assessment of stereoscopic images plays an important role in three-dimensional (3D) technologies.  ...  This research is partially supported by the National Natural Science Foundation of China (Nos. 61471260 and 61271324), and Program for New Century Excellent Talents in University (NCET-12-0400).  ... 
doi:10.1016/j.sigpro.2016.01.019 fatcat:76ncie44nbc7ti7ejfq7szazmu

Comparison of montage with conventional stereoscopic seven-field photographs for assessment of ETDRS diabetic retinopathy severity

Nam V. Nguyen, Erin M. Vigil, Muhammad Hassan, Muhammad S. Halim, Sean C. Baluyot, Hugo A. Guzman, Rubbia Afridi, Diana V. Do, Yasir J. Sepah
2019 International Journal of Retina and Vitreous  
The ETDRS stereoscopic seven-field (7F) has been a standard imaging and grading protocol for assessment of diabetic retinopathy (DR) severity score in many clinical trials.  ...  The best quality image of each stereo pair was selected and placed on a 150 × 125-inch canvas field according to the standard location from field 1 to 7.  ...  Background Diabetic retinopathy (DR), an ocular complication of diabetes, is the leading cause of irreversible blindness among Americans from age 20 to 74 years and accounts for 12% of all cases of blindness  ... 
doi:10.1186/s40942-019-0201-z pmid:31890280 pmcid:PMC6909536 fatcat:bbr2kcl6hnbenc54snwqi53psq

Related Work on Image Quality Assessment [article]

Dongxu Wang
2021 arXiv   pre-print
This article will review the state-of-the-art image quality assessment algorithms.  ...  Due to the existence of quality degradations introduced in various stages of visual signal acquisition, compression, transmission and display, image quality assessment (IQA) plays a vital role in image-based  ...  Experiments confirmed that the proposed method significantly outperforms many existing universal blind image quality assessment models.  ... 
arXiv:2111.06291v1 fatcat:a3wrhqws7bg5thadvagtqvwl3q

Hybrid Distortion Aggregated Visual Comfort Assessment for Stereoscopic Image Retargeting [article]

Ya Zhou, Zhibo Chen, Weiping Li
2018 arXiv   pre-print
In this paper, we propose a Hybrid Distortion Aggregated Visual Comfort Assessment (HDA-VCA) scheme for stereoscopic retargeted images (SRI), considering aggregation of hybrid distortions including structure  ...  We validate the effectiveness of HDA-VCA on published Stereoscopic Image Retargeting Database (SIRD) and two stereoscopic image databases IEEE-SA and NBU 3D-VCA.  ...  Chen et al. proposed a blind stereoscopic video quality assessment lately, which focused on depth perception and applied its crucial part to the overall 3D video quality assessment [21] .  ... 
arXiv:1811.12687v1 fatcat:643ydzywcbbfdjgrauaqfirjjy

Stereoscopic Video Quality Assessment Using Oriented Local Gravitational Force Statistics

Yujian Hou, Lixiong Liu, Yongmei Zhang, Qingbing Sang
2020 IEEE Access  
blind image quality predictions.  ...  [10] designed a 2D-TO-3D video quality assessment model, which uses edge and frame difference information in stereoscopic video to weight 2D image quality assessment (IQA)/video quality assessment (  ... 
doi:10.1109/access.2020.3041612 fatcat:xnpdtq2nvbhwdffhysry5frqva

Quality prediction of asymmetrically distorted stereoscopic images from single views

Jiheng Wang, Kai Zeng, Zhou Wang
2014 2014 IEEE International Conference on Multimedia and Expo (ICME)  
Objective quality assessment of distorted stereoscopic images is a challenging problem.  ...  Finally, we propose a binocular rivalry inspired model to predict the quality of stereoscopic images based on that of the single view images.  ...  Compared with the case of symmetric distortions, quality assessment of asymmetrically distorted stereoscopic images is a much more challenging problem.  ... 
doi:10.1109/icme.2014.6890303 dblp:conf/icmcs/WangZW14 fatcat:3soglu6wavcmlb22dd5gxqpgcu

Blind depth quality assessment using histogram shape analysis

Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2015 2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)  
Index Terms -Depth image quality metric, Free-viewpoint TV, Depth image based rendering, Quality assessment 978-1-4673-8090-4/15/$31.00 ©2015 IEEE  ...  Quality assessment of MVD data is of paramount importance since the latest research results show that existing 2D quality metrics are not suitable for MVD.  ...  Recent studies [17, 18] tested various existing 2D image quality metrics to assess the quality of stereoscopic and 3D images and concluded that none of the existing 2D quality metrics is suitable in  ... 
doi:10.1109/3dtv.2015.7169352 dblp:conf/3dtv/FaridLG15 fatcat:ui5qt22gsjdr7bvomjfwmfe6km

Guest Editorial Special Issue on 3D-TV Horizon: Contents, Systems, and Visual Perception

Liang Zhang, S Daly, O Grau, Namho Hur, W J Tam
2011 IEEE transactions on broadcasting  
Wu's paper on "A Digital Blind Watermarking for Depth-Image-Based Rendering 3D Images" proposes a novel blind multiple watermarking scheme to address the content protection problem of DIBR 3D images by  ...  The authors conclude that crosstalk, even in modest amounts, noticeably degrades the quality of stereoscopic images.  ... 
doi:10.1109/tbc.2011.2131410 fatcat:onbyotipwnbgdkinrl4qmjysnq

2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges

Yuzhen Niu, Yini Zhong, Wenzhong Guo, Yiqing Shi, Peikun Chen
2019 IEEE Access  
INDEX TERMS Image quality assessment, image aesthetics assessment, visual comfort, and image quality enhancement. 782 2169-3536 2018 IEEE.  ...  The main factors that affect 2D image quality are fidelity and aesthetics. Another main factor that affects stereoscopic 3D image quality is visual comfort.  ...  [61] proposed a blind predicting similar quality map (BPSQ) for image fidelity assessment, which uses an FR metric to calculate similar images of image patches (such as FSIM, SSIM, and MDSI), and then  ... 
doi:10.1109/access.2018.2885818 fatcat:gjq7vdwczffufmk3smmn7mokgi

Saliency Inspired Quality Assessment of Stereoscopic 3D Video [article]

Amin Banitalebi-Dehkordi, Panos Nasiopoulos
2018 arXiv   pre-print
task for stereoscopic video.  ...  This paper investigates the added value of incorporating 3D VAMs into Full-Reference (FR) and No-Reference (NR) quality assessment metrics for stereoscopic 3D video.  ...  [78] AR-plus thresholding (APT) is a no-reference blind quality metric designed for quality assessment of 3D synthesized DIBR (depth image-based rendering) images.  ... 
arXiv:1803.04096v1 fatcat:ar7zgxzfqjft7mdzqn72e5uc2u
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