Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment

Cited by (278)

Items 101–200 of 278

1. Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning
   Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang G. Shen, Gang Li · 2020 · Lecture notes in computer science
2. Learning to Assess Image Quality Like an Observer
   Xiwen Yao, Qinglong Cao, Xiaoxu Feng, Gong Cheng, Junwei Han · 2022 · IEEE Transactions on Neural Networks and Learning Systems
3. A PM2.5 concentration estimation method based on multi-feature combination of image patches
   Xiaochu Wang, Meizhen Wang, Xuejun Liu, Xunxun Zhang, Ruichao Li · 2022 · Environmental Research
4. No-Reference Image Quality Assessment using Transfer Learning
   Hatef Otroshi Shahreza, Arash Amini, Hamid Behroozi · 2018 · International Symposium on Telecommunications
5. Max360IQ: Blind omnidirectional image quality assessment with multi-axis attention
   Jiebin Yan, Ziwen Tan, Yuming Fang, Jiale Rao, Yifan Zuo · 2025 · Pattern Recognition
6. No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images
   Nithin C Babu, Vignesh Kannan, Rajiv Soundararajan · 2023 · IEEE Winter Conference on Applications of Computer Vision
7. An optimized CNN-based quality assessment model for screen content image
   Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An · 2021 · Signal Processing Image Communication
8. Blind quality assessment of omnidirectional videos using spatio-temporal convolutional neural networks
   Xiongli Chai, Feng Shao · 2020 · Optik
9. Brain-Inspired Image Perceptual Quality Assessment Based on EEG: A QoE Perspective
   Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li, Jianhua Lü, Guangyi Liu, Zhimin Zheng, Chengkang Pan · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
10. Stereoscopic Video Quality Prediction Based on End-to-End Dual Stream Deep Neural Networks
    Wei Zhou, Zhibo Chen, Weiping Li · 2018 · Lecture notes in computer science
11. Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification
    Minho Ha, Younghoon Byun, Jeonghun Kim, Jaecheol Lee, Youngjoo Lee, Sunggu Lee · 2019 · IEEE Access
12. QL-IQA: Learning distance distribution from quality levels for blind image quality assessment
    Rui Gao, Ziqing Huang, Shiguang Liu · 2021 · Signal Processing Image Communication
13. No-reference image quality assessment with local features and high-order derivatives
    Mariusz Oszust · 2018 · Journal of Visual Communication and Image Representation
14. SCVS: blind image quality assessment based on spatial correlation and visual saliency
    Jiayu Ji, Ke Xiang, Xuanyin Wang · 2022 · The Visual Computer
15. Progressive Contextual Aggregation Empowered by Pixel-Wise Confidence Scoring for Image Inpainting
    Jinwoo Kim, Woojae Kim, Heeseok Oh, Sanghoon Lee · 2023 · IEEE Transactions on Image Processing
16. A Deep Transfer Learning Approach to Document Image Quality Assessment
    Tan Lu, Ann Dooms · 2019 · IAPR International Conference on Document Analysis and Recognition (ICDAR)
17. Helping Visually Impaired People Take Better Quality Pictures
    Mandal, Maniratnam, Ghadiyaram, Deepti, Gurari, Danna, Bovik, Alan C. · 2023 · IEEE Transactions on Image Processing
18. Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
    Jiebin Yan, Jiale Rao, Junjie Chen, Ziwen Tan, Weide Liu, Yuming Fang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
19. Quality Assessment of Screen Content Images in Wavelet Domain
    Pooryaa Cheraaqee, Zahra Maviz, Azadeh Mansouri, Ahmad Mahmoudi-Aznaveh · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
20. Super-resolution image visual quality assessment based on structure–texture features
    Fei Zhou, Sheng Wei, Zitao Lu, Bo Kang, Mianyi Chen, Guoping Qiu · 2023 · Signal Processing Image Communication
21. Synergetic Assessment of Quality and Aesthetic: Approach and Comprehensive Benchmark Dataset
    Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Zhongpai Gao, Guangtao Zhai · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
22. Image Quality Assessment Without Reference By Mixing Deep Learning-Based Features
    Aladine Chetouani · 2020 · IEEE International Conference on Multimedia and Expo (ICME)
23. Pair comparison based progressive subjective quality ranking for underwater images
    Miao Yang, Ge Yin, Yixiang Du, Zhiqiang Wei · 2021 · Signal Processing Image Communication
24. An Efficient Human Instance-Guided Framework for Video Action Recognition
    Inwoong Lee, Doyoung Kim, Dongyoon Wee, Sanghoon Lee · 2021 · Sensors
25. No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity
    Neeraj Badal, Rajiv Soundararajan, Ankur Garg, Abhishek Patil · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
26. Dual-branch vision transformer for blind image quality assessment
    Se‐Ho Lee, Seung‐Wook Kim · 2023 · Journal of Visual Communication and Image Representation
27. Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks
    Shuncheng Jia, Tielin Zhang, Xiang Cheng, Hongxing Liu, Bo Xu · 2021 · Frontiers in Neuroscience
28. Image Quality Assessment using Synthetic Images
    Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan Conrad Bovik · 2022 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
29. A Simple Way of Multimodal and Arbitrary Style Transfer
    Duc Chien Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
30. Perceptual quality assessment for no-reference image via optimization-based meta-learning
    Longsheng Wei, Qingqing Yan, Wei Liu, Dapeng Luo · 2022 · Information Sciences
31. Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
    Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An · 2019 · arXiv (Cornell University)
32. CoSTA: Co-training spatial–temporal attention for blind video quality assessment
    Fengchuang Xing, Yuan‐Gen Wang, Weixuan Tang, Guopu Zhu, Sam Kwong · 2024 · Expert Systems with Applications
33. EARNet: Error-Aware Reconstruction Network for no-reference image quality assessment
    Zhiheng Zhou, Z. Zhou, Xiyuan Tao, Hongjie Chen, Zerui Yu, Yinglie Cao · 2023 · Expert Systems with Applications
34. No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network
    Fan Chen, Hong Chuan Fu, Hengyong Yu, Ying Chu · 2023 · Applied Sciences
35. Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation
    Hui Wang, Guangcheng Wang, Wenjun Xia, Ziyuan Yang, Hui Jun Yu, Leyuan Fang, Yi Zhang · 2023 · IEEE Journal of Selected Topics in Signal Processing
36. PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment
    Qingyi Pan, Ning Guo, Letu Qingge, Jingyi Zhang, Pei Hong Yang · 2023 · Lecture notes in computer science
37. Perceptual Quality Assessment of Retouched Face Images
    Guanghui Yue, Honglv Wu, Qiuping Jiang, Tianwei Zhou, Weiqing Yan, Tianfu Wang · 2023 · IEEE Transactions on Multimedia
38. Feature rectification and enhancement for no-reference image quality assessment
    Wei Wu, Daoquan Huang, Yao Yang, Zhuonan Shen, Hua Zhang, Chenggang Clarence Yan, Bolun Zheng · 2023 · Journal of Visual Communication and Image Representation
39. No-reference image quality assessment based on neighborhood co-occurrence matrix
    Ziheng Zhou, Wen Bing Lu, Jiachen Yang, Weiquan He · 2019 · Signal Processing Image Communication
40. Efficient User-Generated Video Quality Prediction
    Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan Conrad Bovik · 2021 · Picture Coding Symposium
41. Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network
    Zhengqiang Xiong, Manhui Lin, Zhen Lin, Tao Sun, Guangyi Yang, Zhengxing Wang · 2020 · PLoS ONE · Retracted
42. Video Quality Assessment of User Generated Content: A Benchmark Study and a New Model
    Zhengzhong Tu, Chia-Ju Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan Conrad Bovik · 2021 · Proceedings - International Conference on Image Processing
43. Perceptually Optimizing Deep Image Compression
    Li–Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin A, Alan Conrad Bovik · 2020 · arXiv (Cornell University)
44. Evaluating machine learning models for predicting the storage performance of polypyrrole-based supercapacitor electrodes
    A.E. Abd-elnaby, Khaled E. El‐Kelany, Fathallah F. Selim, Mostafa A. Ebied, Ahmed M. Elshaer · 2025 · Journal of Energy Storage
45. Optimized Filtering With Binary Descriptor for Blind Image Quality Assessment
    Mariusz Oszust · 2018 · IEEE Access
46. Predicting Spatio-Temporal Entropic Differences for Robust No Reference Video Quality Assessment
    Shankhanil Mitra, Rajiv Soundararajan, Sumohana S. Channappayya · 2021 · IEEE Signal Processing Letters
47. Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture
    Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid · 2022 · Multimedia Tools and Applications
48. Convolved Quality Transformer: Image Quality Assessment via Long-Range Interaction Between Local Perception
    Heeseok Oh, Jinwoo Kim, Taewan Kim, Sanghoon Lee · 2022 · IEEE Access
49. Phase congruency based on derivatives of circular symmetric Gaussian function: an efficient feature map for image quality assessment
    Congmin Chen, Xuanqin Mou · 2023 · EURASIP Journal on Image and Video Processing
50. No-Reference Image Quality Assessment with Local Gradient Orientations
    Mariusz Oszust · 2019 · Symmetry
51. Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks
    Siyuan Liu, Kim‐Han Thung, Weili Lin, Pew‐Thian Yap, Dinggang G. Shen, the UNC/UMN Baby Connectome Project Consortium · 2019 · Lecture notes in computer science
52. Visibility Metric for Visually Lossless Image Compression
    Nanyang Ye, María Pérez‐Ortiz, Rafał Mantiuk · 2019 · Picture Coding Symposium
53. Study of Natural Scene Categories in Measurement of Perceived Image Quality
    Xiaohan Yang, Fan Li, Leida Li, Ke Gu, Hantao Liu · 2022 · IEEE Transactions on Instrumentation and Measurement
54. Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network
    Chaofeng Li, Lixia Yun, Shoukun Xu · 2022 · Multimedia Tools and Applications
55. Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment
    George Margetis, Grigorios Tsagkatakis, Stefania Stamou, Constantine Stephanidis · 2023 · Sensors
56. Convolutional Neural Networks for Video Quality Assessment
    Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo M. · 2018 · arXiv (Cornell University)
57. Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality
    Fan Chen, Hong Chuan Fu, Hengyong Yu, Ying Chu · 2023 · Sensors
58. Subjective and Objective Quality Assessment of Multi-Attribute Retouched Face Images
    Guanghui Yue, Honglv Wu, Weiqing Yan, Tianwei Zhou, Hantao Liu, Wei Zhou · 2024 · IEEE Transactions on Broadcasting
59. 3D Active Vessel Tracking Using an Elliptical Prior
    Jiwoo Kang, Suwoong Heo, Woo Jin Hyung, Joon Seok Lim, Sanghoon Lee · 2018 · IEEE Transactions on Image Processing
60. Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images
    Bowen Li, Xianpei Wang, Weixia Zhang, Meng Tian, Hongtai Yao · 2020 · IEEE Access
61. Learning to predict the quality of distorted-then-compressed images via a deep neural network
    Bowen Li, Meng Tian, Weixia Zhang, Hongtai Yao, Xianpei Wang · 2020 · Journal of Visual Communication and Image Representation
62. Multi-viewport based 3D convolutional neural network for 360-degree video quality assessment
    Jiefeng Guo, Lianfen Huang, Wei-Che Chien · 2022 · Multimedia Tools and Applications
63. Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark
    Abderrezzaq Sendjasni, Mohamed–Chaker Larabi, Faouzi Alaya Cheikh · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
64. A Comparative Study of DNN-Based Models for Blind Image Quality Prediction
    Xiaohan Yang, Fan Li, Hantao Liu · 2019 · Proceedings - International Conference on Image Processing
65. DFQA: Deep Face Image Quality Assessment
    Fei Yang, Xiaohu Shao, Lijun Zhang, Pingling Deng, Xiangdong Zhou, Yu Shi · 2019 · Lecture notes in computer science
66. Rank-Smoothed Pairwise Learning In Perceptual Quality Assessment
    Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth · 2020 · Proceedings - International Conference on Image Processing
67. Merging of MOS of Large Image Databases for No-reference Image Visual Quality Assessment
    Aki Kaipio, Nikolay N. Ponomarenko, Karen Egiazarian · 2020 · IEEE International Workshop on Multimedia Signal Processing (MMSP)
68. Predicting the quality of images compressed after distortion in two steps
    Xiangxu Yu, Christos G. Bampis, Praful Gupta, Alan Conrad Bovik · 2018 · SPIE Applications of Digital Image Processing
69. Single image super-resolution using capsule generative adversarial network
    Amir Hajian · 2021
70. Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction
    Sebastian Bosse, Soren Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand · 2018 · Proceedings - International Conference on Image Processing
71. A dual-stream hybrid model for blind image quality assessment
    Bowen Tong, Fanning Kong, Tai Kang, Tao Luo, Zaifeng Shi · 2023 · Digital Signal Processing
72. PLTN: Noisy label learning in long-tailed medical images with adaptive prototypes
    Zhiqing He, Jie Xu, Peng Fei Huang, Qin Wang, Yuanyuan Wang, Yi Guo · 2025 · Neurocomputing
73. Robust Facial Pose Estimation Using Landmark Selection Method for Binocular Stereo Vision
    Jaeseong Park, Suwoong Heo, Kyungjune Lee, Hyewon Song, Sanghoon Lee · 2018 · Proceedings - International Conference on Image Processing
74. Convolutional Neural Network Based Network Distance English Teaching Effect Evaluation Method
    Jing Wang, Jia Fu · 2022 · Mathematical Problems in Engineering
75. Towards Content Independent No-reference Image Quality Assessment Using Deep Learning
    Tan Lu, Ann Dooms · 2019 · International Conference on Image, Vision and Computing (ICIVC)
76. No-Reference Video Quality Assessment using Recurrent Neural Networks
    Hatef Otroshi Shahreza, Arash Amini, Hamid Behroozi · 2019 · Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)
77. Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding
    Duc Chien Nguyen, Woojae Kim, Jongyoo Kim, Sanghoon Lee · 2018 · arXiv (Cornell University)
78. Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
    Chen-Hsiu Huang, Ja‐Ling Wu · 2020 · arXiv (Cornell University)
79. Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
    ShahRukh Athar, Zhongling Wang, Zhou Wang · 2021 · arXiv (Cornell University)
80. Deep Superpixel-Based Network For Blind Image Quality Assessment
    Guangyi Yang, Zhan Yang, Yuxuan Wang · 2021 · Research Square
81. Weeping and Gnashing of Teeth: Teaching Deep Learning in Image and Video Processing Classes
    Alan Conrad Bovik · 2020 · IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
82. Local image quality measurement for multi-scale forensic palmprints
    Fanchang Hao, Chang Xu, Yang Gongping, Lu Yang, Chengdong Li, Chenglong Li, Xia Chuanliang · 2020 · Multimedia Tools and Applications
83. No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction
    Fan Wang, Jia Chen, Haonan Zhong, Yibo Ai, Weidong Zhang · 2022 · Applied Sciences
84. No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism
    Changzhong Wang, Xiang Lv, Weiping Ding, Xiaodong Fan · 2022 · Soft Computing
85. Multivariate Statistical Approach to Image Quality Tasks
    Praful Gupta, Christos G. Bampis, Jack L. Glover, Nicholas G. Paulter, Alan Conrad Bovik · 2018 · Journal of Imaging
86. Blind Image Quality Assessment Based on Classification Guidance and Feature Aggregation
    Weipeng Cai, Cien Fan, Lian Zou, Yifeng Liu, Yang Ma, Minyuan Wu · 2020 · Electronics
87. Explicit-implicit dual stream network for image quality assessment
    Guangyi Yang, Xingyu Ding, Tian Huang, Kun Cheng, Weizheng Jin · 2020 · EURASIP Journal on Image and Video Processing
88. Action Recognition Using Close-Up of Maximum Activation and ETRI-Activity3D LivingLab Dataset
    Doyoung Kim, Inwoong Lee, Dohyung Kim, Sanghoon Lee · 2021 · Sensors
89. Attention-driven residual-dense network for no-reference image quality assessment
    Yang Zhang, Changzhong Wang, Xiang Lv, Yingnan Song, Qiangkui Leng · 2024 · Signal Image and Video Processing
90. MFCQA: Multi-Range Feature Cross-Attention Mechanism for no-reference image quality assessment
    Nu Sun, Jian Jin, Lili Meng, Weisi Lin, Hao Wang, Li Liu, Huaxiang Zhang · 2025 · Knowledge-Based Systems
91. Full-Reference Video Quality Assessment Based on Spatiotemporal Visual Sensitivity
    Huiyuan Fu, Da Pan, Ping An Shi · 2021 · International Conference on Culture-oriented Science & Technology (ICCST)
92. Deep Convolutional Feature-Driven Rate Control for the HEVC Encoders
    Ismail Marzuki, Jongseok Lee, Wahyu Wiratama, Donggyu Sim · 2021 · IEEE Access
93. ARET-IQA: An Aspect-Ratio-Embedded Transformer for Image Quality Assessment
    Hancheng Zhu, Yong Zheng Zhou, Zhiwen Shao, Wen-Liang Du, Jiaqi Zhao, Rui Yao · 2022 · Electronics
94. PGF-BIQA: Blind image quality assessment via probability multi-grained cascade forest
    Hao Liu, Ce Li, Shangang Jin, Weizhe Gao, Fenghua Liu, Shaoyi Du, Shihui Ying · 2023 · Computer Vision and Image Understanding
95. Combination of Deep Learning-Based and Handcrafted Features for Blind Image Quality Assessment
    Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frederic Dufaux A · 2021 · European Workshop on Visual Information Processing
96. Saliency-based feature fusion convolutional network for blind image quality assessment
    Lili Shen, Chuhe Zhang, Chunping Hou · 2021 · Signal Image and Video Processing
97. Deep learning via CNN for identification of blue core phenomenon in helicon plasma discharge
    Xianyi Yin, Qinlong Song, Shiyang Cheng, Haibao Zhang · 2024 · Physics of Plasmas
98. Using fMRI to Predict Training Effectiveness in Visual Scene Analysis
    Joseph Borders, Bethany Dennis, Birken T. Noesen, Assaf Harel · 2020 · Lecture notes in computer science
99. CPDINet: Blind image quality assessment via a content perception and distortion inference network
    Xiao Shao, Mengqing Liu, Zihan Li, Peiyun Zhang · 2022 · IET Image Processing
100. SEM Image Quality Assessment Based on Intuitive Morphology and Deep Semantic Features
     Haoran Wang, Shiyin Li, Jicun Ding, Suyan Li, Liang Dong, Zhaolin Lu · 2022 · IEEE Access