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A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis [article]

Salima Bourbia, Ayoub Karine, Aladine Chetouani, Mohammed El Hassouni
2021 arXiv   pre-print
This paper addresses the problem of blind stereoscopic image quality assessment (NR-SIQA) using a new multi-task deep learning based-method.  ...  In this work, we propose to integrate these characteristics to estimate the quality of stereoscopic images without reference through a convolutional neural network.  ...  CONCLUSION In this paper, we presented a new method based on multi-task convolutional neural network model to evaluate the quality of NR-SIQA.  ... 
arXiv:2106.09303v3 fatcat:ugvkgljqorasnpbbgo7bkk6qc4

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
Approach for In- loop Filtering in Video Coding Li, Sumei No-Reference Stereoscopic Image Quality Assessment Based on Convolutional Neural Network with A Long-Term Feature Fusion Li, Sumei No-Reference  ...  Stereoscopic Image Quality Assessment Based On Visual Attention Mechanism Li, Sumei A Weighted Mean Absolute Error Metric for Image Quality Assessment Li, Sumei No-Reference Stereoscopic Image  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y

2020 Index IEEE Transactions on Multimedia Vol. 22

2020 IEEE transactions on multimedia  
., TMM Dec. 2020 3115-3127 Jevremovic, A., see Kostic, Z., TMM July 2020 1904-1916 Ji, Q., see Wang, S., TMM April 2020 1084-1097 Jia, K., see 1345-1357 Jia, Y., see 2138-2148 Jian, M., Dong, J.,  ...  Liu, X., +, TMM April 2020 949-960 Reduced Reference Stereoscopic Image Quality Assessment Using Sparse Representation and Natural Scene Statistics.  ...  ., +, TMM April 2020 1055-1068 A Multi-Attribute Blind Quality Evaluator for Tone-Mapped Images.  ... 
doi:10.1109/tmm.2020.3047236 fatcat:llha6qbaandfvkhrzpe5gek6mq

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 1972-1984 Attention-Aware Multi-Task Convolutional Neural Networks. Lyu, K., +, TIP 2020 1867-1878 Burst Ranking for Blind Multi-Image Deblurring.  ...  Artusi, A., +, TIP 2020 1843-1855 End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., see Sepas-Moghaddam, A., TCSVT Dec. 2020 4496-4512 Hassanpour, H., see Khosravi, M.H., TCSVT Jan. 2020 48-58 Hatzinakos, D., see 2900-2916 Hayat, M., see 2900-2916 He, C., Hu, Y., Chen, Y., Fan  ...  Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network.  ...  ., +, TCSVT Feb. 2020 590-602 Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network. Zhang, W., +, TCSVT Jan. 2020 36-47 Blind Quality Assessment for Cartoon Images.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 967-981 Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics.  ...  ., +, TMM 2021 2602-2613 Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT Dec. 2019 3487-3500 A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment.  ...  ., +, TCSVT Nov. 2019 3258-3268 Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

Stereoscopic Image Super-Resolution Method with View Incorporation and Convolutional Neural Networks

Zhiyong Pan, Gangyi Jiang, Hao Jiang, Mei Yu, Fen Chen, Qingbo Zhang
2017 Applied Sciences  
Therefore, a stereoscopic image SR method based on view incorporation and convolutional neural networks (CNN) is proposed.  ...  Moreover, Dong et al. [15] combined dictionary learning and neural networks to establish a model of the SR convolutional neural network (SRCNN).  ...  Since the PSNR and SSIM indices are full-reference image quality assessments and the BRISQUE index is a no-reference image quality assessment, we considered PSNR and SSIM together for facilitating the  ... 
doi:10.3390/app7060526 fatcat:zcnuagvuyfgedc266yv5cqv6ci

Table of contents

2020 IEEE Transactions on Image Processing  
Gao 500 Convolutional Deblurring for Natural Imaging ...................................... M. S. Hosseini and K. N.  ...  Murala 628 Burst Ranking for Blind Multi-Image Deblurring ...................................................... F. A.  ... 
doi:10.1109/tip.2019.2940373 fatcat:i7hktzn4wrfz5dhq7hj75u6esa

Table of contents

2020 IEEE Transactions on Image Processing  
Chul Ye 1856 Attention-Aware Multi-Task Convolutional Neural Networks ................................ K. Lyu, Y. Li, and Z.  ...  Zeng 5596 No-Reference Video Quality Assessment Using Natural Spatiotemporal Scene Statistics ................................. .........................................................................  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

Perceptual image quality assessment: a survey

Guangtao Zhai, Xiongkuo Min
2020 Science China Information Sciences  
Specifically, the frequently used subjective image quality assessment databases are first reviewed, as they serve as the validation set for the objective measures.  ...  Keywords visual quality assessment, human visual system, subjective quality assessment, objective quality assessment Citation Zhai G T, Min X K. Perceptual image quality assessment: a survey.  ...  [230] proposed a multi-task end-to-end optimized deep neural network (MEON) for NR IQA.  ... 
doi:10.1007/s11432-019-2757-1 fatcat:kizmju2lbbbcxjb42y6stct5sq

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

Ya Zhou, Zhibo Chen, Weiping Li
2018 arXiv   pre-print
Finally, the semantic distortion is represented by the correlation distance of paired feature maps extracted from original stereoscopic image and its retargeted image by using trained deep neural network  ...  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  ...  Therefore, stereoscopic image assessment needs to deal with multi-dimensional quality factors including image quality, depth quality, visual comfort, naturalness, sense of presence, etc., which is more  ... 
arXiv:1811.12687v1 fatcat:643ydzywcbbfdjgrauaqfirjjy

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 68-79 No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network.  ...  ., +, TIP 2021 3934-3945 No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Special issue on video and imaging systems for critical engineering applications [SI 1096]

Gwanggil Jeon, Awais Ahmad, Abdellah Chehri, Salvatore Cuomo
2020 Multimedia tools and applications  
Moreover, artificial neural network when combined with pattern recognition techniques, such  ...  For instance, the complex nature of mobile and video imaging need radical version to the swift changes in our society, economy, environment, and technological revolution; there is an utmost need to address  ...  Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1007/s11042-020-08672-5 fatcat:dmusbepcancb5i6jqo7hhf6a2m

Table of contents

2019 ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
ACOUSTIC CONDITIONS USING RELIABILITY INFORMATION AND DIARIZATION Andreas Brendel, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Bracha Laufer-Goldshtein, Sharon Gannot, Bar-Ilan University  ...  , University of Sheffield, United Kingdom IVMSP-P12.2: COMPLETELY BLIND IMAGE QUALITY ASSESSMENT USING LATENT ....................................... 2372 QUALITY FACTOR FROM IMAGE LOCAL STRUCTURE REPRESENTATION  ...  A ................................................................ 2757 CONVOLUTIONAL NEURAL NETWORK Mikkel N.  ... 
doi:10.1109/icassp.2019.8682209 fatcat:fnau5zhouzf2feywojlbqwxuoe
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