Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features

Cited by (641)

Items 101–200 of 641

1. No Reference Image Quality Assessment based on Multi-Expert Convolutional Neural Networks
   Chunling Fan, Yun Zhang, Liangbing Feng, Qingshan Jiang · 2018 · IEEE Access
2. A High-Definition Diversity-Scene Database for Image Quality Assessment
   Tsung-Jung Liu, Hsin‐Hua Liu, Soo‐Chang Pei, Kuan-Hsien Liu · 2018 · IEEE Access
3. Pairwise-Comparison-Based Rank Learning for Benchmarking Image Restoration Algorithms
   Bo Hu, Leida Li, Hantao Liu, Weisi Lin, Jiansheng Qian · 2019 · IEEE Transactions on Multimedia
4. Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment
   Liang Liao, Kangmin Xu, Haoning Wu, Chaofeng Chen, Wenxiu Sun, Qiong Yan, Weisi Lin · 2022 · ACM International Conference on Multimedia (ACM MM)
5. Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images via Distortion Parameter Estimation
   Yi Zhang, Damon M. Chandler · 2018 · IEEE Transactions on Image Processing
6. Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation
   Jiachen Yang, Kyohoon Sim, Wen Bing Lu, Bin Jiang · 2018 · IEEE Transactions on Multimedia
7. Saliency-Guided Transformer Network combined with Local Embedding for No-Reference Image Quality Assessment
   Mengmeng Zhu, Guanqun Hou, Xinjia Chen, Jiaxing Xie, Haixian Lu, Jun Che · 2021 · IEEE International Conference on Computer Vision Workshops
8. An efficient approach for no-reference image quality assessment based on statistical texture and structural features
   J. Rajevenceltha, Vilas Haridas Gaidhane · 2021 · Engineering Science and Technology an International Journal
9. No-reference quality assessment of underwater image enhancement
   Yi Xiao, Qiuping Jiang, Wei Zhou · 2023 · Displays
10. SF-IQA: Quality and Similarity Integration for AI Generated Image Quality Assessment
    Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
11. Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics
    Yuming Fang, Jiebin Yan, Rengang Du, Yifan Zuo, Wenying Wen, Yan Zeng, Leida Li · 2020 · IEEE Transactions on Multimedia
12. VBLFI: Visualization-Based Blind Light Field Image Quality Assessment
    Jianjun Xiang, Mei Yu, Hua Chen, Haiyong Xu, Yang Song, Gangyi Jiang · 2020 · IEEE International Conference on Multimedia and Expo (ICME)
13. A Deep Evaluator for Image Retargeting Quality by Geometrical and Contextual Interaction
    Bin Jiang, Jiachen Yang, Qinggang Meng, Baihua Li, Wen Bing Lu · 2018 · IEEE Transactions on Cybernetics
14. Pre-Attention and Spatial Dependency Driven No-Reference Image Quality Assessment
    Lixiong Liu, Tianshu Wang, Hua Huang · 2019 · IEEE Transactions on Multimedia
15. FASS: Face Anti-Spoofing System Using Image Quality Features and Deep Learning
    Enoch Solomon, Krzysztof J. Cios · 2023 · Electronics
16. Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
    Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. Toward Dimension-Enriched Underwater Image Quality Assessment
    Qiuping Jiang, Yi Xiao, Li Ouyang, Jingchun Zhou, Zhihua Wang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
18. Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis
    Chenwei Deng, Shuigen Wang, Alan Conrad Bovik, Guang-Bin Huang, Baojun Zhao · 2019 · IEEE Transactions on Cybernetics
19. Subjective and objective quality assessment for image restoration: A critical survey
    Bo Hu, Leida Li, Jinjian Wu, Jiansheng Qian · 2020 · Signal Processing Image Communication
20. Blind quality index for tone-mapped images based on luminance partition
    Pengfei Chen, Leida Li, Xinfeng Zhang, Shanshe Wang, Allen Tan · 2019 · Pattern Recognition
21. Deep Underwater Image Quality Assessment With Explicit Degradation Awareness Embedding
    Qiuping Jiang, Yuese Gu, Zongwei Wu, Chongyi Li, Huan Xiong, Feng Shao, Zhihua Wang · 2025 · IEEE Transactions on Image Processing
22. No-Reference Image Quality Assessment with Global Statistical Features
    Domonkos Varga · 2021 · Journal of Imaging
23. Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN
    Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan Kazimierz Piechnik, Stefan Neubauer, Steffen Erhard Petersen, Alejandro Federico Frangi · 2018 · IEEE Transactions on Biomedical Engineering
24. Toward a Blind Quality Predictor for Screen Content Images
    Feng Shao, Ying Gao, Fucui Li, Gangyi Jiang · 2017 · IEEE Transactions on Systems Man and Cybernetics Systems
25. No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors
    Mariusz Oszust · 2017 · IEEE Signal Processing Letters
26. Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder
    Qiuping Jiang, Feng Shao, Weisi Lin, Gangyi Jiang · 2017 · Pattern Recognition
27. Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics
    Yu Zhou, Leida Li, Jinjian Wu, Ke Gu, Weisheng Dong, Guangming Shi · 2018 · IEEE Transactions on Multimedia
28. Exploiting Local Degradation Characteristics and Global Statistical Properties for Blind Quality Assessment of Tone-Mapped HDR Images
    Xuejin Wang, Qiuping Jiang, Feng Shao, Ke Gu, Guangtao Zhai, Xiaokang Yang · 2020 · IEEE Transactions on Multimedia
29. No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features
    Domonkos Varga · 2020 · Journal of Imaging
30. No‐reference image quality assessment of magnetic resonance images with high‐boost filtering and local features
    Mariusz Oszust, Adam Piórkowski, Rafał Obuchowicz · 2020 · Magnetic Resonance in Medicine
31. No Reference Quality Assessment for 3D Synthesized Views by Local Structure Variation and Global Naturalness Change
    Jiebin Yan, Yuming Fang, Rengang Du, Yan Zeng, Yifan Zuo · 2020 · IEEE Transactions on Image Processing
32. Blind Omnidirectional Image Quality Assessment Based on Structure and Natural Features
    Yun Liu, Hongwei Yu, Baoqing Huang, Guanghui Yue, Baoyan Song · 2021 · IEEE Transactions on Instrumentation and Measurement
33. IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment
    Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain · 2024 · IEEE Access
34. Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network
    Jiachen Yang, Yang Sheng Zhao, Yinghao Zhu, Huifang Xu, Wen Bing Lu, Qinggang Meng · 2018 · Information Sciences
35. DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment
    Mobeen Ur Rehman, Imran Fareed Nizami, Muhammad Majid · 2021 · Displays
36. COVER: A Comprehensive Video Quality Evaluator
    Chenlong He, Qi Zheng, Ruoxi Zhu, Xiaoyang Zeng, Yibo Fan, Zhengzhong Tu · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
37. Supervised dictionary learning for blind image quality assessment using quality-constraint sparse coding
    Qiuping Jiang, Feng Shao, Gangyi Jiang, Mei Yu, Zongju Peng · 2015 · Journal of Visual Communication and Image Representation
38. Objective Image Quality Assessment: Facing The Real-World Challenges
    Zhou Wang · 2016 · Electronic Imaging
39. A Completely Blind Video Quality Evaluator
    Qi Zheng, Zhengzhong Tu, Xiaoyang Zeng, Alan Conrad Bovik, Yibo Fan · 2022 · IEEE Signal Processing Letters
40. Semantic-aware blind image quality assessment
    Ernestasia Siahaan, Alan Hanjalić, Judith Redi · 2017 · Signal Processing Image Communication
41. BNB Method for No-Reference Image Quality Assessment
    Ruigang Fang, Richard Al-Bayaty, Dapeng Oliver Wu · 2016 · IEEE Transactions on Circuits and Systems for Video Technology
42. Local Feature Descriptor and Derivative Filters for Blind Image Quality Assessment
    Mariusz Oszust · 2019 · IEEE Signal Processing Letters
43. Predicting the Quality of View Synthesis With Color-Depth Image Fusion
    Leida Li, Yipo Huang, Jinjian Wu, Ke Gu, Yuming Fang · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
44. PIQI: perceptual image quality index based on ensemble of Gaussian process regression
    Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Hassan Khalid · 2021 · Multimedia Tools and Applications
45. Quality Assessment of UGC Videos Based on Decomposition and Recomposition
    Yongxu Liu, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
46. Blind Quality Assessment for Cartoon Images
    Yuan Chen, Yang Sheng Zhao, Shujie Li, Wangmeng Zuo, Wei Jia, Xiaoping Liu · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
47. Structural-Equation-Modeling-Based Indicator Systems for Image Quality Assessment
    Cong Wang, Junxi Lin, Xuelong Li · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
48. No-reference image quality assessment using bag-of-features with feature selection
    Imran Fareed Nizami, Muhammad Majid, Mobeen Ur Rehman, Syed Muhammad Anwar, Ammara Nasim, Khawar Khurshid · 2020 · Multimedia Tools and Applications
49. Deep feature importance awareness based no-reference image quality prediction
    Xiaohan Yang, Fan Li, Hantao Liu · 2020 · Neurocomputing
50. Multi-Angle Projection Based Blind Omnidirectional Image Quality Assessment
    Hao Jiang, Gangyi Jiang, Mei Yu, Ting Luo, Haiyong Xu · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
51. Blind Tone-Mapped HDR Image Quality Measurement by Analysis of Low-Level and High-Level Perceptual Characteristics
    Yueli Cui, Mei Yu, Gangyi Jiang, Zongju Peng, Fen Chen · 2022 · IEEE Transactions on Instrumentation and Measurement
52. From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach
    Shaolin Su, Qingsen Yan, Yu Michael Zhu, Jinqiu Sun, Yanning Zhang · 2022 · Pattern Recognition
53. Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method
    Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
54. Corrupted Reference Image Quality Assessment of Denoised Images
    Chen Zhang, Cheng Wu, Keigo Hirakawa · 2018 · IEEE Transactions on Image Processing
55. Hierarchical Curriculum Learning for No-Reference Image Quality Assessment
    Juan Wang, Zewen Chen, Chunfeng Yuan, Bing Li, Wentao Ma, Weiming Hu · 2023 · International Journal of Computer Vision
56. Multitask Deep Neural Network With Knowledge-Guided Attention for Blind Image Quality Assessment
    Tianwei Zhou, Songbai Tan, Baoquan Zhao, Guanghui Yue · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
57. Current Trends and Advances in Image Quality Assessment
    Krzysztof Okarma · 2019 · Elektronika ir Elektrotechnika
58. No-reference pixel based video quality assessment for HEVC decoded video
    Xin Huang, Jacob Søgaard, Søren O. Forchhammer · 2017 · Journal of Visual Communication and Image Representation
59. PerSIM: Multi-resolution image quality assessment in the perceptually uniform color domain
    Dogancan Temel, Ghassan AlRegib · 2015 · Proceedings - International Conference on Image Processing
60. Deep Neural Network
    Jen‐Tzung Chien · 2018 · Elsevier eBooks
61. Combining Tensor Slice and Singular Value for Blind Light Field Image Quality Assessment
    Zhiyong Pan, Mei Yu, Gangyi Jiang, Haiyong Xu, Yo‐Sung Ho · 2021 · IEEE Journal of Selected Topics in Signal Processing
62. Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning
    Yueli Cui, Gangyi Jiang, Mei Yu, Yang Song · 2022 · IEEE Transactions on Emerging Topics in Computational Intelligence
63. FAVER: Blind quality prediction of variable frame rate videos
    Qi Zheng, Zhengzhong Tu, Pavan C. Madhusudana, Xiaoyang Zeng, Alan Conrad Bovik, Yibo Fan · 2024 · Signal Processing Image Communication
64. A Spatial–Temporal Video Quality Assessment Method via Comprehensive HVS Simulation
    Aoxiang Zhang, Yuan‐Gen Wang, Weixuan Tang, Leida Li, Sam Kwong · 2023 · IEEE Transactions on Cybernetics
65. Blind sonar image quality assessment via machine learning: Leveraging micro- and macro-scale texture and contour features in the wavelet domain
    Hamidreza Farhadi Tolie, Jinchang Ren, Rongjun Chen, Huimin Zhao, Eyad Elyan · 2024 · Engineering Applications of Artificial Intelligence
66. Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system
    Ying Fu, Yongrong Zheng, Lin Zhang, Yinqiang Zheng, Hua Huang · 2019 · Neurocomputing
67. No-reference image quality assessment of authentically distorted images with global and local statistics
    Milosz Rajchel, Mariusz Oszust · 2020 · Signal Image and Video Processing
68. Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images
    Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Jinjian Wu, Xinbo Gao · 2022 · IEEE Transactions on Multimedia
69. Subjective and Objective Analysis of Streamed Gaming Videos
    Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan Conrad Bovik · 2023 · IEEE Transactions on Games
70. Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform
    Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Syed Muhammad Anwar · 2020 · Multimedia Tools and Applications
71. Blind quality assessment for screen content images by orientation selectivity mechanism
    Ning Lu, Guohui Li · 2017 · Signal Processing
72. Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
    Igor Stępień, Rafał Obuchowicz, Adam Piórkowski, Mariusz Oszust · 2021 · Sensors
73. Fine-Grained Image Quality Assessment: A Revisit and Further Thinking
    Xinfeng Zhang, Weisi Lin, Qingming Huang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
74. Image quality assessment based fake face detection
    S. Usha Kiruthika, Vedhanayagam Masilamani · 2022 · Multimedia Tools and Applications
75. Blind Quality Evaluator of Light Field Images by Group-Based Representations and Multiple Plane-Oriented Perceptual Characteristics
    Xiongli Chai, Feng Shao, Qiuping Jiang, Xuejin Wang, Long Xu, Yo‐Sung Ho · 2023 · IEEE Transactions on Multimedia
76. Perception oriented transmission estimation for high quality image dehazing
    Zhigang Ling, Guoliang Fan, Jianwei Gong, Yaonan Wang, Xiao Bo Lu · 2016 · Neurocomputing
77. No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning
    V. Abhinau Kumar, Shashank Gupta, Sai Sheetal Chandra, Shanmuganathan Raman, Sumohana S. Channappayya · 2017 · International Conference on Quality of Multimedia Experience (QoMEX)
78. Blind image quality assessment based on joint log-contrast statistics
    Qiaohong Li, Weisi Lin, Ke Gu, Yabin Zhang, Yuming Fang · 2018 · Neurocomputing
79. Video quality assessment using space–time slice mappings
    Lixiong Liu, Tianshu Wang, Hua Huang, Alan Conrad Bovik · 2019 · Signal Processing Image Communication
80. Blind image quality assessment using natural scene statistics of stationary wavelet transform
    Andleeb Sadiq, Imran Fareed Nizami, Syed Muhammad Anwar, Muhammad Majid · 2020 · Optik
81. CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
    Zhenchen Tang, Zichuan Wang, Bo Peng, Jing Dong · 2024 · Lecture notes in computer science
82. No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness
    Yang Sheng Zhao, Shuai Xiao, Jiachen Yang, Wen Bing Lu, Xinbo Gao · 2022 · Signal Processing
83. EHNQ: Subjective and Objective Quality Evaluation of Enhanced Night-Time Images
    Ying Yang, Tao Xiang, Shangwei Guo, Xiao Lv, Hantao Liu, Xiaofeng Liao · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
84. No reference quality evaluation for screen content images considering texture feature based on sparse representation
    Jiachen Yang, Jiacheng Liu, Bin Jiang, Wen Bing Lu · 2018 · Signal Processing
85. Learning content-specific codebooks for blind quality assessment of screen content images
    Yongqiang Bai, Mei Yu, Qiuping Jiang, Gangyi Jiang, Zhongjie Zhu · 2019 · Signal Processing
86. A Wavelet-Predominant Algorithm Can Evaluate Quality of THz Security Image and Identify Its Usability
    Menghan Hu, Guangtao Zhai, Rong Xie, Xiongkuo Min, Qingli Li, Xiaokang Yang, Wenjun Zhang · 2019 · IEEE Transactions on Broadcasting
87. No-reference image quality assessment with visual pattern degradation
    Jinjian Wu, Man Zhang, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin · 2019 · Information Sciences
88. CLIPVQA: Video Quality Assessment via CLIP
    Fengchuang Xing, Mingjie Li, Yuan‐Gen Wang, Guopu Zhu, Xiaochun Cao · 2024 · IEEE Transactions on Broadcasting
89. No-reference image quality assessment based on high order derivatives
    Qiaohong Li, Weisi Lin, Yuming Fang · 2016 · IEEE International Conference on Multimedia and Expo (ICME)
90. Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitude
    Chern-Loon Lim, Raveendran Paramesran, Wissam A. Jassim, Yong-Poh Yu, King Ngi Ngan · 2016 · Journal of the Franklin Institute
91. Referenceless quality metric of multiply-distorted images based on structural degradation
    Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu‐Tao Xia · 2018 · Neurocomputing
92. Why no-reference metrics for image and video quality lack accuracy and reproducibility
    Pinson, Margaret H. · 2023 · IEEE Transactions on Broadcasting
93. No-reference perceptual quality assessment of stereoscopic images based on binocular visual characteristics
    Lei Chen, Jiying Zhao · 2019 · Signal Processing Image Communication
94. GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content
    Yu-Chih Chen, Avinab Saha, Chase Davis, Bo Qiu, Xiaoming Wang, Rahul Gowda, Ioannis X. Katsavounidis, Alan Conrad Bovik · 2023 · IEEE Signal Processing Letters
95. Progress in Blind Image Quality Assessment: A Brief Review
    Pei Hong Yang, Jordan Sturtz, Letu Qingge · 2023 · Mathematics
96. 2BiVQA: Double Bi-LSTM-based Video Quality Assessment of UGC Videos
    Ahmed Telili, Sid Ahmed Fezza, Wassim Hamidouche, Hanene F. Z. Brachemi Meftah · 2023 · ACM Transactions on Multimedia Computing Communications and Applications
97. New feature selection algorithms for no-reference image quality assessment
    Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid · 2018 · Applied Intelligence
98. Blind tone mapped image quality assessment with image segmentation and visual perception
    Biwei Chi, Mei Yu, Gangyi Jiang, Zhouyan He, Zongju Peng, Fen Chen · 2020 · Journal of Visual Communication and Image Representation
99. Quality Assessment for AI Generated Images With Instruction Tuning
    Jiarui Wang, Huiyu Duan, Guangtao Zhai, Xiongkuo Min · 2026 · IEEE Transactions on Multimedia
100. Local and global sparse representation for no-reference quality assessment of stereoscopic images
     Fucui Li, Feng Shao, Qiuping Jiang, Randi Fu, Gangyi Jiang, Mei Yu · 2017 · Information Sciences