Literatura académica sobre el tema "Authentically Distorted Image Quality"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Authentically Distorted Image Quality".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Authentically Distorted Image Quality"
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 completoLibros sobre el tema "Authentically Distorted Image Quality"
Grant, Jon E., Eric W. Leppink y Sarah A. Redden. The Relationship Between Body Dysmorphic Disorder and Eating Disorders. Editado por Katharine A. Phillips. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190254131.003.0036.
Texto completoCapítulos de libros sobre el tema "Authentically Distorted Image Quality"
Chetouani, Aladine. "An Image Quality Metric with Reference for Multiply Distorted Image". En Advanced Concepts for Intelligent Vision Systems, 477–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48680-2_42.
Texto completoZhu, Yiming, Xianzhi Chen y Shengkui Dai. "No-Reference Image Quality Assessment for Contrast Distorted Images". En Lecture Notes in Computer Science, 241–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87361-5_20.
Texto completoMansoor, Atif Bin y Adeel Anwar. "Subjective Evaluation of Image Quality Measures for White Noise Distorted Images". En Advanced Concepts for Intelligent Vision Systems, 10–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17688-3_2.
Texto completoAhmed Seghir, Zianou y Fella Hachouf. "Image Quality Assessment Based on Edge-Region Information and Distorted Pixel for JPEG and JPEG2000". En Advanced Concepts for Intelligent Vision Systems, 156–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04697-1_15.
Texto completoAhmed, Basma, Osama A. Omer, Amal Rashed, Domenec Puig y Mohamed Abdel-Nasser. "Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features". En Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220345.
Texto completoDe, Indrajit. "A Fuzzy Relational Classifier Based Image Quality Assessment Method". En Intelligent Analysis of Multimedia Information, 247–65. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0498-6.ch009.
Texto completoAbdelouahad, Abdelkaher Ait, Mohammed El Hassouni, Hocine Cherifi y Driss Aboutajdine. "A New Image Distortion Measure Based on Natural Scene Statistics Modeling". En Geographic Information Systems, 616–30. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch037.
Texto completoDe Silva, P., K. Abhiram y V. Tavakkoli. "A Comprehensive Analysis of Document-Image Distortions and their Respective Impact on Distorted Text/Character-Image Recognition Quality". En Autonomous Systems 2019: An Almanac, 176–98. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783186864109-176.
Texto completoGuo, Yingchun, Gang Yan, Cuihong Xue y Yang Yu. "Blind Assessment of Wavelet-Compressed Images Based on Subband Statistics of Natural Scenes". En Computer Vision, 1322–37. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch055.
Texto completoActas de conferencias sobre el tema "Authentically Distorted Image Quality"
Yang, Luping, Haiqing Du, Jingtao Xu y Yong Liu. "Blind image quality assessment on authentically distorted images with perceptual features". En 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7532717.
Texto completoGhadiyaram, Deepti y Alan C. Bovik. "Feature maps driven no-reference image quality prediction of authentically distorted images". En IS&T/SPIE Electronic Imaging, editado por Bernice E. Rogowitz, Thrasyvoulos N. Pappas y Huib de Ridder. SPIE, 2015. http://dx.doi.org/10.1117/12.2084807.
Texto completoBabu, Nithin C., Vignesh Kannan y Rajiv Soundararajan. "No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images". En 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2023. http://dx.doi.org/10.1109/wacv56688.2023.00249.
Texto completoGhadiyaram, Deepti y Alan C. Bovik. "Scene statistics of authentically distorted images in perceptually relevant color spaces for blind image quality assessment". En 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351526.
Texto completoSakuldee, Ratchakit y Somkait Udomhunsakul. "Objective Measurements of Distorted Image Quality Evaluation". En 2008 International Conference on Computer and Communication Engineering. IEEE, 2008. http://dx.doi.org/10.1109/iccce.2008.4580768.
Texto completoLin, Ching-Ti, Tsung-Jung Liu y Kuan-Hsien Liu. "Visual quality prediction on distorted stereoscopic images". En 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296929.
Texto completoWu, Jun, Zhaoqiang Xia, Yifeng Ren y Huifang Li. "No-reference quality assessment for contrast-distorted image". En 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2016. http://dx.doi.org/10.1109/ipta.2016.7820968.
Texto completoShen, Yinghua, Chaohui Lu y Hui Ren. "Objective quality assessment of JPEG distorted stereoscopic image". En 2012 2nd International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2012. http://dx.doi.org/10.1109/iccsnt.2012.6526080.
Texto completoBosse, Sebastian, Mischa Siekmann, Jennifer Rasch, Thomas Wiegand y Wojciech Samek. "Quality assessment of image patches distorted by image compression using crowdsourcing". En 2016 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2016. http://dx.doi.org/10.1109/icme.2016.7552958.
Texto completoXu, Min y Zhiming Wang. "No-reference quality assessment of contrast-distorted images". En 2016 IEEE International Conference on Signal and Image Processing (ICSIP). IEEE, 2016. http://dx.doi.org/10.1109/siprocess.2016.7888285.
Texto completo