Artículos de revistas sobre el tema "Authentically Distorted Image Quality"
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Guan, Xiaodi, Fan Li y Lijun He. "Quality Assessment on Authentically Distorted Images by Expanding Proxy Labels". Electronics 9, n.º 2 (3 de febrero de 2020): 252. http://dx.doi.org/10.3390/electronics9020252.
Texto completoCelona, Luigi y Raimondo Schettini. "Blind quality assessment of authentically distorted images". Journal of the Optical Society of America A 39, n.º 6 (2 de marzo de 2022): B1. http://dx.doi.org/10.1364/josaa.448144.
Texto completoJiang, Qiuping, Zhenyu Peng, Sheng Yang y Feng Shao. "Authentically Distorted Image Quality Assessment by Learning From Empirical Score Distributions". IEEE Signal Processing Letters 26, n.º 12 (diciembre de 2019): 1867–71. http://dx.doi.org/10.1109/lsp.2019.2951533.
Texto completoVarga, Domonkos. "No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features". Journal of Imaging 8, n.º 6 (19 de junio de 2022): 173. http://dx.doi.org/10.3390/jimaging8060173.
Texto completoChen, Fan, Hong Fu, Hengyong Yu y Ying Chu. "No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network". Applied Sciences 13, n.º 11 (3 de junio de 2023): 6802. http://dx.doi.org/10.3390/app13116802.
Texto completoTang, Yiling, Shunliang Jiang, Shaoping Xu, Tingyun Liu y Chongxi Li. "Blind Image Quality Assessment Based on Multi-Window Method and HSV Color Space". Applied Sciences 9, n.º 12 (19 de junio de 2019): 2499. http://dx.doi.org/10.3390/app9122499.
Texto completoHan, Lintao, Hengyi Lv, Yuchen Zhao, Hailong Liu, Guoling Bi, Zhiyong Yin y Yuqiang Fang. "Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment". Sensors 23, n.º 1 (30 de diciembre de 2022): 427. http://dx.doi.org/10.3390/s23010427.
Texto completoGhadiyaram, Deepti y Alan C. Bovik. "Perceptual quality prediction on authentically distorted images using a bag of features approach". Journal of Vision 17, n.º 1 (27 de enero de 2017): 32. http://dx.doi.org/10.1167/17.1.32.
Texto completoWANG Chun-zhe, 王春哲, 李杰 LI Jie, 李明晶 LI Ming-jing y 郭盼 GUO Pan. "Image quality assessment algorithm for multi-distorted image". Chinese Journal of Liquid Crystals and Displays 30, n.º 4 (2015): 681–86. http://dx.doi.org/10.3788/yjyxs20153004.0681.
Texto completoZhang, Yin, Xuehan Bai, Junhua Yan, Yongqi Xiao, Wanyi Zhang, C. R. Chatwin y R. C. D. Young. "A Full-Reference Image Quality Assessment for Multiply Distorted Image based on Visual Mutual Information". Journal of Imaging Science and Technology 63, n.º 6 (1 de noviembre de 2019): 60504–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.6.060504.
Texto completoWANG, YUQING, MING ZHU, HAOCHEN PANG y YONG WANG. "QUATERNION BASED COLOR IMAGE QUALITY ASSESSMENT INDEX". International Journal of Image and Graphics 11, n.º 02 (abril de 2011): 195–206. http://dx.doi.org/10.1142/s0219467811004111.
Texto completoGupta, Praful, Christos Bampis, Jack Glover, Nicholas Paulter y Alan Bovik. "Multivariate Statistical Approach to Image Quality Tasks". Journal of Imaging 4, n.º 10 (12 de octubre de 2018): 117. http://dx.doi.org/10.3390/jimaging4100117.
Texto completoSun, Wen, Fei Zhou y Qingmin Liao. "MDID: A multiply distorted image database for image quality assessment". Pattern Recognition 61 (enero de 2017): 153–68. http://dx.doi.org/10.1016/j.patcog.2016.07.033.
Texto completoLamichhane, Kamal, Marco Carli y Federica Battisti. "Saliency-based deep blind image quality assessment". Electronic Imaging 2021, n.º 9 (18 de enero de 2021): 225–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-225.
Texto completoPang, Lu Lu, Cong Li Li, De Ning Qi y Tao Zou. "A New Image Quality Assessment Method Based on SSIM and TV Model". Applied Mechanics and Materials 65 (junio de 2011): 542–50. http://dx.doi.org/10.4028/www.scientific.net/amm.65.542.
Texto completoGuan, Xiaodi, Lijun He, Mengyue Li y Fan Li. "Entropy Based Data Expansion Method for Blind Image Quality Assessment". Entropy 22, n.º 1 (31 de diciembre de 2019): 60. http://dx.doi.org/10.3390/e22010060.
Texto completoCorchs, Silvia, Francesca Gasparini y Raimondo Schettini. "No reference image quality classification for JPEG-distorted images". Digital Signal Processing 30 (julio de 2014): 86–100. http://dx.doi.org/10.1016/j.dsp.2014.04.003.
Texto completoWu, Yadong, Hongying Zhang y Ran Duan. "Total Variation Based Perceptual Image Quality Assessment Modeling". Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/294870.
Texto completoLi, Jun Feng, Wen Zhan Dai y Hui Jiao Wang. "Image Quality Assessment Based on Fuzzy Similarity Measure and Wavelet Transform". Advanced Materials Research 181-182 (enero de 2011): 31–36. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.31.
Texto completoHE, LIHUO, WEN LU, XINBO GAO, DACHENG TAO y XUELONG LI. "A NOVEL METRIC BASED ON MCA FOR IMAGE QUALITY". International Journal of Wavelets, Multiresolution and Information Processing 09, n.º 05 (septiembre de 2011): 743–57. http://dx.doi.org/10.1142/s0219691311004298.
Texto completoVarga, Domonkos. "No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual Features". Electronics 10, n.º 22 (12 de noviembre de 2021): 2768. http://dx.doi.org/10.3390/electronics10222768.
Texto completoZhang, Yin, Xuehan Bai, Junhua Yan, Yongqi Xiao, C. R. Chatwin, R. C. D. Young y P. Birch. "No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics". Journal of Imaging Science and Technology 64, n.º 1 (1 de enero de 2020): 10505–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.1.010505.
Texto completoTsai, Pei-Fen, Huai-Nan Peng, Chia-Hung Liao y Shyan-Ming Yuan. "Full-Reference Image Quality Assessment with Transformer and DISTS". Mathematics 11, n.º 7 (26 de marzo de 2023): 1599. http://dx.doi.org/10.3390/math11071599.
Texto completoDe, Kanjar y Masilamani V. "NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION". Image Analysis & Stereology 37, n.º 2 (9 de julio de 2018): 105. http://dx.doi.org/10.5566/ias.1534.
Texto completoLi, Yu y Lizhuang Liu. "Image quality classification algorithm based on InceptionV3 and SVM". MATEC Web of Conferences 277 (2019): 02036. http://dx.doi.org/10.1051/matecconf/201927702036.
Texto completoDENG, CHENG, JIE LI, YIFAN ZHANG, DONGYU HUANG y LINGLING AN. "AN IMAGE QUALITY METRIC BASED ON BIOLOGICALLY INSPIRED FEATURE MODEL". International Journal of Image and Graphics 11, n.º 02 (abril de 2011): 265–79. http://dx.doi.org/10.1142/s0219467811004093.
Texto completoYang, Hongtao, Ping Shi, Dixiu Zhong, Da Pan y Zefeng Ying. "Blind Image Quality Assessment of Natural Distorted Image Based on Generative Adversarial Networks". IEEE Access 7 (2019): 179290–303. http://dx.doi.org/10.1109/access.2019.2957235.
Texto completoAhmed, Ismail Taha, Chen Soong Der, Baraa Tareq Hammad y Norziana Jamil. "Contrast-distorted image quality assessment based on curvelet domain features". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 3 (1 de junio de 2021): 2595. http://dx.doi.org/10.11591/ijece.v11i3.pp2595-2603.
Texto completoHsu, Shau-Wei, Yu-Ta Chen, Bao-Jen Pong y Sheng-Tzung Kuo. "Correlations of image quality metrics studied using systematically distorted videos". Optical Review 18, n.º 1 (enero de 2011): 157–61. http://dx.doi.org/10.1007/s10043-011-0015-1.
Texto completoYang, Xiaohan, Fan Li, Wei Zhang y Lijun He. "Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT domain". Entropy 20, n.º 11 (17 de noviembre de 2018): 885. http://dx.doi.org/10.3390/e20110885.
Texto completoLU, WEN, XINBO GAO, DACHENG TAO y XUELONG LI. "A WAVELET-BASED IMAGE QUALITY ASSESSMENT METHOD". International Journal of Wavelets, Multiresolution and Information Processing 06, n.º 04 (julio de 2008): 541–51. http://dx.doi.org/10.1142/s0219691308002501.
Texto completoShang, Xiaobao, Xinyu Zhao y Yong Ding. "Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains". Journal of Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1214697.
Texto completoLuo, Xiaoyan, Shining Wang y Ding Yuan. "Subjective Score Predictor: A New Evaluation Function of Distorted Image Quality". Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/1243410.
Texto completoLi, Chao Feng, Yi Wen Ju y Quan Lin Hou. "A Novel No-Reference Perceptual Blur Metric". Applied Mechanics and Materials 568-570 (junio de 2014): 716–20. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.716.
Texto completoFu, Hao, Guojun Liu, Xiaoqin Yang, Lili Wei y Lixia Yang. "Two Low-Level Feature Distributions Based No Reference Image Quality Assessment". Applied Sciences 12, n.º 10 (14 de mayo de 2022): 4975. http://dx.doi.org/10.3390/app12104975.
Texto completoSai, S. V. "A method for assessing photorealistic image quality with high resolution". Computer Optics 46, n.º 1 (febrero de 2022): 121–29. http://dx.doi.org/10.18287/2412-6179-co-899.
Texto completoAhmed, Ismail Taha, Chen Soong Der, Norziana Jamil y Mohamad Afendee Mohamed. "Improve of contrast-distorted image quality assessment based on convolutional neural networks". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 6 (1 de diciembre de 2019): 5604. http://dx.doi.org/10.11591/ijece.v9i6.pp5604-5614.
Texto completoHou Chunping, 侯春萍, 马彤彤 Ma Tongtong, 岳广辉 Yue Guanghui, 冯丹丹 Feng Dandan y 刘. 月. Liu Yue. "Multiply-Distorted Image Quality Assessment Based on High-Order Phase Congruency". Laser & Optoelectronics Progress 54, n.º 7 (2017): 071001. http://dx.doi.org/10.3788/lop54.071001.
Texto completoYuan, Yuan, Hai Su, Juhua Liu y Guoqiang Zeng. "Locally and multiply distorted image quality assessment via multi-stage CNNs". Information Processing & Management 57, n.º 4 (julio de 2020): 102175. http://dx.doi.org/10.1016/j.ipm.2019.102175.
Texto completoGarg, Meenu y Amandeep Verma. "An Enhanced LSDBIQ Algorithm for Full Reference Image Quality Assessment for Multi Distorted Images". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 8 (30 de agosto de 2017): 41. http://dx.doi.org/10.23956/ijarcsse.v7i8.18.
Texto completoSaifeldeen, Abdalmajeed, Shu Hong Jiao y Wei Liu. "Entirely Blind Image Quality Assessment Estimator". Applied Mechanics and Materials 543-547 (marzo de 2014): 2496–99. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2496.
Texto completoWang, Yu Qing. "Local Variance Based Color Image Quality Assessment Method". Advanced Materials Research 301-303 (julio de 2011): 1254–59. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1254.
Texto completoAbdelouahad, Abdelkaher Ait, Mohammed El Hassouni, Hocine Cherifi y Driss Aboutajdine. "A New Image Distortion Measure Based on Natural Scene Statistics Modeling". International Journal of Computer Vision and Image Processing 2, n.º 1 (enero de 2012): 1–15. http://dx.doi.org/10.4018/ijcvip.2012010101.
Texto completoWANG Chun-zhe, 王春哲, 安军社 AN Jun-she, 姜秀杰 JIANG Xiu-jie, 李杰 LI Jie y 张羽丰 ZHANG Yu-feng. "Multi-distorted image quality assessment algorithm based on sparse representation and SOM". Chinese Journal of Liquid Crystals and Displays 33, n.º 10 (2018): 877–83. http://dx.doi.org/10.3788/yjyxs20183310.0877.
Texto completoDutta, Manoj Kumar, Mohineet Kaur y Ram Krishna Sarkar. "Image quality improvement of old and distorted artworks using fuzzy logic technique". Optik 249 (enero de 2022): 168252. http://dx.doi.org/10.1016/j.ijleo.2021.168252.
Texto completoLee, Dong Won, Seonah Kim y Dong Yung Cho. "Obesity-Related Quality of Life and Distorted Self-Body Image in Adults". Applied Research in Quality of Life 8, n.º 1 (9 de junio de 2012): 87–100. http://dx.doi.org/10.1007/s11482-012-9174-x.
Texto completoDe Silva, Kalupahanage Dilusha Malintha y Hyo Jong Lee. "Distorted Aerial Images Semantic Segmentation Method for Software-Based Analog Image Receivers Using Deep Combined Learning". Applied Sciences 13, n.º 11 (4 de junio de 2023): 6816. http://dx.doi.org/10.3390/app13116816.
Texto completoVarga, Domonkos. "A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps". Algorithms 13, n.º 12 (28 de noviembre de 2020): 313. http://dx.doi.org/10.3390/a13120313.
Texto completoChen, Fan, Hong Fu, Hengyong Yu y Ying Chu. "Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality". Sensors 23, n.º 10 (22 de mayo de 2023): 4974. http://dx.doi.org/10.3390/s23104974.
Texto completoOkarma, Krzysztof, Piotr Lech y Vladimir V. Lukin. "Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images". Electronics 10, n.º 18 (14 de septiembre de 2021): 2256. http://dx.doi.org/10.3390/electronics10182256.
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