Статті в журналах з теми "Authentically Distorted Image Quality"
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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.
Повний текст джерелаCelona, Luigi, and Raimondo Schettini. "Blind quality assessment of authentically distorted images." Journal of the Optical Society of America A 39, no. 6 (March 2, 2022): B1. http://dx.doi.org/10.1364/josaa.448144.
Повний текст джерелаJiang, Qiuping, Zhenyu Peng, Sheng Yang, and Feng Shao. "Authentically Distorted Image Quality Assessment by Learning From Empirical Score Distributions." IEEE Signal Processing Letters 26, no. 12 (December 2019): 1867–71. http://dx.doi.org/10.1109/lsp.2019.2951533.
Повний текст джерелаVarga, 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.
Повний текст джерелаChen, Fan, Hong Fu, Hengyong Yu, and Ying Chu. "No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network." Applied Sciences 13, no. 11 (June 3, 2023): 6802. http://dx.doi.org/10.3390/app13116802.
Повний текст джерелаTang, Yiling, Shunliang Jiang, Shaoping Xu, Tingyun Liu, and Chongxi Li. "Blind Image Quality Assessment Based on Multi-Window Method and HSV Color Space." Applied Sciences 9, no. 12 (June 19, 2019): 2499. http://dx.doi.org/10.3390/app9122499.
Повний текст джерелаHan, 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.
Повний текст джерелаGhadiyaram, Deepti, and Alan C. Bovik. "Perceptual quality prediction on authentically distorted images using a bag of features approach." Journal of Vision 17, no. 1 (January 27, 2017): 32. http://dx.doi.org/10.1167/17.1.32.
Повний текст джерелаWANG Chun-zhe, 王春哲, 李杰 LI Jie, 李明晶 LI Ming-jing, and 郭盼 GUO Pan. "Image quality assessment algorithm for multi-distorted image." Chinese Journal of Liquid Crystals and Displays 30, no. 4 (2015): 681–86. http://dx.doi.org/10.3788/yjyxs20153004.0681.
Повний текст джерелаZhang, Yin, Xuehan Bai, Junhua Yan, Yongqi Xiao, Wanyi Zhang, C. R. Chatwin, and 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, no. 6 (November 1, 2019): 60504–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.6.060504.
Повний текст джерелаWANG, YUQING, MING ZHU, HAOCHEN PANG, and YONG WANG. "QUATERNION BASED COLOR IMAGE QUALITY ASSESSMENT INDEX." International Journal of Image and Graphics 11, no. 02 (April 2011): 195–206. http://dx.doi.org/10.1142/s0219467811004111.
Повний текст джерелаGupta, 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.
Повний текст джерелаSun, Wen, Fei Zhou, and Qingmin Liao. "MDID: A multiply distorted image database for image quality assessment." Pattern Recognition 61 (January 2017): 153–68. http://dx.doi.org/10.1016/j.patcog.2016.07.033.
Повний текст джерелаLamichhane, Kamal, Marco Carli, and Federica Battisti. "Saliency-based deep blind image quality assessment." Electronic Imaging 2021, no. 9 (January 18, 2021): 225–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-225.
Повний текст джерелаPang, Lu Lu, Cong Li Li, De Ning Qi, and Tao Zou. "A New Image Quality Assessment Method Based on SSIM and TV Model." Applied Mechanics and Materials 65 (June 2011): 542–50. http://dx.doi.org/10.4028/www.scientific.net/amm.65.542.
Повний текст джерелаGuan, Xiaodi, Lijun He, Mengyue Li, and Fan Li. "Entropy Based Data Expansion Method for Blind Image Quality Assessment." Entropy 22, no. 1 (December 31, 2019): 60. http://dx.doi.org/10.3390/e22010060.
Повний текст джерелаCorchs, Silvia, Francesca Gasparini, and Raimondo Schettini. "No reference image quality classification for JPEG-distorted images." Digital Signal Processing 30 (July 2014): 86–100. http://dx.doi.org/10.1016/j.dsp.2014.04.003.
Повний текст джерелаWu, Yadong, Hongying Zhang, and 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.
Повний текст джерелаLi, Jun Feng, Wen Zhan Dai, and Hui Jiao Wang. "Image Quality Assessment Based on Fuzzy Similarity Measure and Wavelet Transform." Advanced Materials Research 181-182 (January 2011): 31–36. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.31.
Повний текст джерелаHE, LIHUO, WEN LU, XINBO GAO, DACHENG TAO, and XUELONG LI. "A NOVEL METRIC BASED ON MCA FOR IMAGE QUALITY." International Journal of Wavelets, Multiresolution and Information Processing 09, no. 05 (September 2011): 743–57. http://dx.doi.org/10.1142/s0219691311004298.
Повний текст джерелаVarga, Domonkos. "No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual Features." Electronics 10, no. 22 (November 12, 2021): 2768. http://dx.doi.org/10.3390/electronics10222768.
Повний текст джерелаZhang, Yin, Xuehan Bai, Junhua Yan, Yongqi Xiao, C. R. Chatwin, R. C. D. Young, and P. Birch. "No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics." Journal of Imaging Science and Technology 64, no. 1 (January 1, 2020): 10505–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.1.010505.
Повний текст джерелаTsai, Pei-Fen, Huai-Nan Peng, Chia-Hung Liao, and Shyan-Ming Yuan. "Full-Reference Image Quality Assessment with Transformer and DISTS." Mathematics 11, no. 7 (March 26, 2023): 1599. http://dx.doi.org/10.3390/math11071599.
Повний текст джерелаDe, Kanjar, and Masilamani V. "NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION." Image Analysis & Stereology 37, no. 2 (July 9, 2018): 105. http://dx.doi.org/10.5566/ias.1534.
Повний текст джерелаLi, Yu, and 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.
Повний текст джерелаDENG, CHENG, JIE LI, YIFAN ZHANG, DONGYU HUANG, and LINGLING AN. "AN IMAGE QUALITY METRIC BASED ON BIOLOGICALLY INSPIRED FEATURE MODEL." International Journal of Image and Graphics 11, no. 02 (April 2011): 265–79. http://dx.doi.org/10.1142/s0219467811004093.
Повний текст джерелаYang, Hongtao, Ping Shi, Dixiu Zhong, Da Pan, and 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.
Повний текст джерелаAhmed, 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.
Повний текст джерелаHsu, Shau-Wei, Yu-Ta Chen, Bao-Jen Pong, and Sheng-Tzung Kuo. "Correlations of image quality metrics studied using systematically distorted videos." Optical Review 18, no. 1 (January 2011): 157–61. http://dx.doi.org/10.1007/s10043-011-0015-1.
Повний текст джерелаYang, Xiaohan, Fan Li, Wei Zhang, and Lijun He. "Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT domain." Entropy 20, no. 11 (November 17, 2018): 885. http://dx.doi.org/10.3390/e20110885.
Повний текст джерелаLU, WEN, XINBO GAO, DACHENG TAO, and XUELONG LI. "A WAVELET-BASED IMAGE QUALITY ASSESSMENT METHOD." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (July 2008): 541–51. http://dx.doi.org/10.1142/s0219691308002501.
Повний текст джерелаShang, Xiaobao, Xinyu Zhao, and 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.
Повний текст джерелаLuo, Xiaoyan, Shining Wang, and 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.
Повний текст джерелаLi, Chao Feng, Yi Wen Ju, and Quan Lin Hou. "A Novel No-Reference Perceptual Blur Metric." Applied Mechanics and Materials 568-570 (June 2014): 716–20. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.716.
Повний текст джерелаFu, 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.
Повний текст джерелаSai, S. V. "A method for assessing photorealistic image quality with high resolution." Computer Optics 46, no. 1 (February 2022): 121–29. http://dx.doi.org/10.18287/2412-6179-co-899.
Повний текст джерелаAhmed, 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.
Повний текст джерелаHou Chunping, 侯春萍, 马彤彤 Ma Tongtong, 岳广辉 Yue Guanghui, 冯丹丹 Feng Dandan, and 刘. 月. Liu Yue. "Multiply-Distorted Image Quality Assessment Based on High-Order Phase Congruency." Laser & Optoelectronics Progress 54, no. 7 (2017): 071001. http://dx.doi.org/10.3788/lop54.071001.
Повний текст джерелаYuan, Yuan, Hai Su, Juhua Liu, and Guoqiang Zeng. "Locally and multiply distorted image quality assessment via multi-stage CNNs." Information Processing & Management 57, no. 4 (July 2020): 102175. http://dx.doi.org/10.1016/j.ipm.2019.102175.
Повний текст джерелаGarg, Meenu, and 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, no. 8 (August 30, 2017): 41. http://dx.doi.org/10.23956/ijarcsse.v7i8.18.
Повний текст джерелаSaifeldeen, Abdalmajeed, Shu Hong Jiao, and Wei Liu. "Entirely Blind Image Quality Assessment Estimator." Applied Mechanics and Materials 543-547 (March 2014): 2496–99. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2496.
Повний текст джерелаWang, Yu Qing. "Local Variance Based Color Image Quality Assessment Method." Advanced Materials Research 301-303 (July 2011): 1254–59. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1254.
Повний текст джерелаAbdelouahad, Abdelkaher Ait, Mohammed El Hassouni, Hocine Cherifi, and Driss Aboutajdine. "A New Image Distortion Measure Based on Natural Scene Statistics Modeling." International Journal of Computer Vision and Image Processing 2, no. 1 (January 2012): 1–15. http://dx.doi.org/10.4018/ijcvip.2012010101.
Повний текст джерелаWANG Chun-zhe, 王春哲, 安军社 AN Jun-she, 姜秀杰 JIANG Xiu-jie, 李杰 LI Jie, and 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, no. 10 (2018): 877–83. http://dx.doi.org/10.3788/yjyxs20183310.0877.
Повний текст джерелаDutta, Manoj Kumar, Mohineet Kaur, and Ram Krishna Sarkar. "Image quality improvement of old and distorted artworks using fuzzy logic technique." Optik 249 (January 2022): 168252. http://dx.doi.org/10.1016/j.ijleo.2021.168252.
Повний текст джерелаLee, Dong Won, Seonah Kim, and Dong Yung Cho. "Obesity-Related Quality of Life and Distorted Self-Body Image in Adults." Applied Research in Quality of Life 8, no. 1 (June 9, 2012): 87–100. http://dx.doi.org/10.1007/s11482-012-9174-x.
Повний текст джерелаDe Silva, Kalupahanage Dilusha Malintha, and Hyo Jong Lee. "Distorted Aerial Images Semantic Segmentation Method for Software-Based Analog Image Receivers Using Deep Combined Learning." Applied Sciences 13, no. 11 (June 4, 2023): 6816. http://dx.doi.org/10.3390/app13116816.
Повний текст джерелаVarga, Domonkos. "A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps." Algorithms 13, no. 12 (November 28, 2020): 313. http://dx.doi.org/10.3390/a13120313.
Повний текст джерелаChen, Fan, Hong Fu, Hengyong Yu, and Ying Chu. "Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality." Sensors 23, no. 10 (May 22, 2023): 4974. http://dx.doi.org/10.3390/s23104974.
Повний текст джерелаOkarma, Krzysztof, Piotr Lech, and Vladimir V. Lukin. "Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images." Electronics 10, no. 18 (September 14, 2021): 2256. http://dx.doi.org/10.3390/electronics10182256.
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