Статті в журналах з теми "No-Reference image quality assessment (NR-IQA)"
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Zhang, Haopeng, Bo Yuan, Bo Dong, and Zhiguo Jiang. "No-Reference Blurred Image Quality Assessment by Structural Similarity Index." Applied Sciences 8, no. 10 (October 22, 2018): 2003. http://dx.doi.org/10.3390/app8102003.
Shi, Jinsong, Pan Gao, and Jie Qin. "Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 5 (March 24, 2024): 4829–37. http://dx.doi.org/10.1609/aaai.v38i5.28285.
Lee, Wonkyeong, Eunbyeol Cho, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, and Jang-Hwan Choi. "No-reference perceptual CT image quality assessment based on a self-supervised learning framework." Machine Learning: Science and Technology 3, no. 4 (December 1, 2022): 045033. http://dx.doi.org/10.1088/2632-2153/aca87d.
Oszust, Mariusz. "No-Reference Image Quality Assessment with Local Gradient Orientations." Symmetry 11, no. 1 (January 16, 2019): 95. http://dx.doi.org/10.3390/sym11010095.
Ahmed, Ismail Taha, Chen Soong Der, Baraa Tareq Hammad, and Norziana Jamil. "Contrast-distorted image quality assessment based on curvelet domain features." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (June 1, 2021): 2595. http://dx.doi.org/10.11591/ijece.v11i3.pp2595-2603.
Garcia Freitas, Pedro, Luísa da Eira, Samuel Santos, and Mylene Farias. "On the Application LBP Texture Descriptors and Its Variants for No-Reference Image Quality Assessment." Journal of Imaging 4, no. 10 (October 4, 2018): 114. http://dx.doi.org/10.3390/jimaging4100114.
Gu, Jie, Gaofeng Meng, Cheng Da, Shiming Xiang, and Chunhong Pan. "No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8336–43. http://dx.doi.org/10.1609/aaai.v33i01.33018336.
Varga, Domonkos. "No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion." Applied Sciences 12, no. 1 (December 23, 2021): 101. http://dx.doi.org/10.3390/app12010101.
Yin, Guanghao, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, and Changhu Wang. "Content-Variant Reference Image Quality Assessment via Knowledge Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 3134–42. http://dx.doi.org/10.1609/aaai.v36i3.20221.
Gavrovska, Ana, Dragi Dujković, Andreja Samčović, Yuliya Golub, and Valery Starovoitov. "Quadratic fitting model in no-reference image quality assessment." Telfor Journal 15, no. 2 (2023): 32–37. http://dx.doi.org/10.5937/telfor2302032g.
Varga, Domonkos. "No-Reference Image Quality Assessment with Multi-Scale Orderless Pooling of Deep Features." Journal of Imaging 7, no. 7 (July 10, 2021): 112. http://dx.doi.org/10.3390/jimaging7070112.
Yan, Chenggang, Tong Teng, Yutao Liu, Yongbing Zhang, Haoqian Wang, and Xiangyang Ji. "Precise No-Reference Image Quality Evaluation Based on Distortion Identification." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 3s (October 31, 2021): 1–21. http://dx.doi.org/10.1145/3468872.
Stępień, Igor, and Mariusz Oszust. "A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images." Journal of Imaging 8, no. 6 (June 4, 2022): 160. http://dx.doi.org/10.3390/jimaging8060160.
Ye, Zhongchang, Xin Ye, and Zhonghua Zhao. "Hybrid No-Reference Quality Assessment for Surveillance Images." Information 13, no. 12 (December 16, 2022): 588. http://dx.doi.org/10.3390/info13120588.
Fu, Hao, Guojun Liu, Xiaoqin Yang, Lili Wei, and Lixia Yang. "Two Low-Level Feature Distributions Based No Reference Image Quality Assessment." Applied Sciences 12, no. 10 (May 14, 2022): 4975. http://dx.doi.org/10.3390/app12104975.
Guan, Xiaodi, Fan Li, and Lijun He. "Quality Assessment on Authentically Distorted Images by Expanding Proxy Labels." Electronics 9, no. 2 (February 3, 2020): 252. http://dx.doi.org/10.3390/electronics9020252.
Varga, Domonkos. "No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features." Journal of Imaging 6, no. 8 (July 30, 2020): 75. http://dx.doi.org/10.3390/jimaging6080075.
Ahmed, Ismail Taha, Chen Soong Der, Norziana Jamil, and Mohamad Afendee Mohamed. "Improve of contrast-distorted image quality assessment based on convolutional neural networks." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (December 1, 2019): 5604. http://dx.doi.org/10.11591/ijece.v9i6.pp5604-5614.
Stępień, Igor, and Mariusz Oszust. "No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations." Remote Sensing 14, no. 5 (February 24, 2022): 1119. http://dx.doi.org/10.3390/rs14051119.
Ryu, Jihyoung. "Improved Image Quality Assessment by Utilizing Pre-Trained Architecture Features with Unified Learning Mechanism." Applied Sciences 13, no. 4 (February 19, 2023): 2682. http://dx.doi.org/10.3390/app13042682.
Varga, Domonkos. "A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors." Sensors 22, no. 18 (September 7, 2022): 6775. http://dx.doi.org/10.3390/s22186775.
Ryu, Jihyoung. "A Visual Saliency-Based Neural Network Architecture for No-Reference Image Quality Assessment." Applied Sciences 12, no. 19 (September 23, 2022): 9567. http://dx.doi.org/10.3390/app12199567.
Abdalmajeed, Saifeldeen, and Jiao Shuhong. "Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/389504.
Mahmood, Saifeldeen Abdalmajeed. "Three Different Features Based Metric To Assess Image Quality Blindly." FES Journal of Engineering Sciences 8, no. 2 (May 23, 2020): 97–103. http://dx.doi.org/10.52981/fjes.v8i2.121.
LU, WEN, LIHUO HE, WENJIAN TANG, FEI GAO, and WEILONG HOU. "A NOVEL COMPRESSED IMAGES QUALITY METRIC." International Journal of Image and Graphics 11, no. 02 (April 2011): 281–92. http://dx.doi.org/10.1142/s021946781100410x.
Ullah, Hayat, Muhammad Irfan, Kyungjin Han, and Jong Weon Lee. "DLNR-SIQA: Deep Learning-Based No-Reference Stitched Image Quality Assessment." Sensors 20, no. 22 (November 12, 2020): 6457. http://dx.doi.org/10.3390/s20226457.
Zhang, Run, and Yongbin Wang. "Natural Image Quality Assessment Based on Visual Biological Cognitive Mechanism." International Journal of Software Innovation 7, no. 1 (January 2019): 1–26. http://dx.doi.org/10.4018/ijsi.2019010101.
Wang, Yue, Zeng Gang Lin, and Zi Cheng Liao. "Image Quality Assessment Based on Region of Interest." Applied Mechanics and Materials 596 (July 2014): 350–54. http://dx.doi.org/10.4028/www.scientific.net/amm.596.350.
Han, Lintao, Hengyi Lv, Yuchen Zhao, Hailong Liu, Guoling Bi, Zhiyong Yin, and Yuqiang Fang. "Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment." Sensors 23, no. 1 (December 30, 2022): 427. http://dx.doi.org/10.3390/s23010427.
Stępień, Igor, Rafał Obuchowicz, Adam Piórkowski, and Mariusz Oszust. "Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment." Sensors 21, no. 4 (February 3, 2021): 1043. http://dx.doi.org/10.3390/s21041043.
Cui, Yueli. "No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion." Entropy 22, no. 3 (March 17, 2020): 344. http://dx.doi.org/10.3390/e22030344.
Qian, Qi, and Qingbing Sang. "No-reference image quality assessment based on automatic machine learning." ITM Web of Conferences 45 (2022): 01034. http://dx.doi.org/10.1051/itmconf/20224501034.
Chandler, Damon M. "Seven Challenges in Image Quality Assessment: Past, Present, and Future Research." ISRN Signal Processing 2013 (February 6, 2013): 1–53. http://dx.doi.org/10.1155/2013/905685.
Varga, Domonkos. "No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features." Journal of Imaging 8, no. 6 (June 19, 2022): 173. http://dx.doi.org/10.3390/jimaging8060173.
Gupta, Praful, Christos Bampis, Jack Glover, Nicholas Paulter, and Alan Bovik. "Multivariate Statistical Approach to Image Quality Tasks." Journal of Imaging 4, no. 10 (October 12, 2018): 117. http://dx.doi.org/10.3390/jimaging4100117.
Gao, Guoqing, Lingxiao Li, Hao Chen, Ning Jiang, Shuqi Li, Qing Bian, Hua Bao, and Changhui Rao. "No-Reference Quality Assessment of Extended Target Adaptive Optics Images Using Deep Neural Network." Sensors 24, no. 1 (December 19, 2023): 1. http://dx.doi.org/10.3390/s24010001.
Gu, Ke, Guangtao Zhai, Xiaokang Yang, and Wenjun Zhang. "No-Reference Stereoscopic IQA Approach: From Nonlinear Effect to Parallax Compensation." Journal of Electrical and Computer Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/436031.
Lei, Shu, Huang Zijian, Yan Jiebin, and Fei Fengchang. "Super Resolution Image Visual Quality Assessment Based on Feature Optimization." Computational Intelligence and Neuroscience 2022 (June 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/1263348.
Varga, Domonkos. "Multi-Pooled Inception Features for No-Reference Image Quality Assessment." Applied Sciences 10, no. 6 (March 23, 2020): 2186. http://dx.doi.org/10.3390/app10062186.
Hu, Kai, Yanwen Zhang, Feiyu Lu, Zhiliang Deng, and Yunping Liu. "An Underwater Image Enhancement Algorithm Based on MSR Parameter Optimization." Journal of Marine Science and Engineering 8, no. 10 (September 25, 2020): 741. http://dx.doi.org/10.3390/jmse8100741.
Courtney, Jane. "SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired." Journal of Imaging 7, no. 9 (August 30, 2021): 168. http://dx.doi.org/10.3390/jimaging7090168.
Li, Yuyan, Yubo Dong, Haoyong Li, Danhua Liu, Fang Xue, and Dahua Gao. "No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning." Remote Sensing 16, no. 10 (May 8, 2024): 1657. http://dx.doi.org/10.3390/rs16101657.
Wang, Bin. "An Image Quality Assessment Approach Based on Saliency Map in Space Domain." Advanced Materials Research 1006-1007 (August 2014): 768–72. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.768.
Starovoitov, V. V., and F. V. Starovoitov. "COMPARATIVE ANALYSIS OF NO-REFERENCE QUALITY MEASURES FOR DIGITAL IMAGES." «System analysis and applied information science», no. 1 (May 4, 2017): 24–32. http://dx.doi.org/10.21122/2309-4923-2017-1-24-32.
Modak, Sourav, Jonathan Heil, and Anthony Stein. "Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial Network." Remote Sensing 16, no. 5 (March 1, 2024): 874. http://dx.doi.org/10.3390/rs16050874.
Zhang, Lin, Xilin Yang, Lijun Zhang, Xiao Liu, Shengjie Zhao, and Yong Ma. "Towards Automatic Image Exposure Level Assessment." Mathematical Problems in Engineering 2020 (November 23, 2020): 1–14. http://dx.doi.org/10.1155/2020/2789854.
Jin, Chongchong, Zongju Peng, Wenhui Zou, Fen Chen, Gangyi Jiang, and Mei Yu. "No-Reference Quality Assessment for 3D Synthesized Images Based on Visual-Entropy-Guided Multi-Layer Features Analysis." Entropy 23, no. 6 (June 18, 2021): 770. http://dx.doi.org/10.3390/e23060770.
Sybingco, Edwin, and Elmer P. Dadios. "Blind Image Quality Assessment Based on Natural Statistics of Double-Opponency." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 5 (September 20, 2018): 725–30. http://dx.doi.org/10.20965/jaciii.2018.p0725.
Zheng, Yuanfeng, Yuchen Yan, and Hao Jiang. "Semi-TSGAN: Semi-Supervised Learning for Highlight Removal Based on Teacher-Student Generative Adversarial Network." Sensors 24, no. 10 (May 13, 2024): 3090. http://dx.doi.org/10.3390/s24103090.
Irshad, Muhammad, Camilo Sanchez-Ferreira, Sana Alamgeer, Carlos H. Llanos, and Mylène C. Q. Farias. "No-reference Image Quality Assessment of Underwater Images Using Multi-Scale Salient Local Binary Patterns." Electronic Imaging 2021, no. 9 (January 18, 2021): 265–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-265.