Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Abdelrahman Abdelhamed"'
Publikováno v:
IEEE Access, Vol 12, Pp 45839-45846 (2024)
The authenticity of digital images posted online and shared on social media is often questioned due to the ability of photo-editing software to alter image content and generative AI methods that can produce visually compelling deepfakes. Only images
Externí odkaz:
https://doaj.org/article/4d0fd1872656435f8bc29a7648669c0d
Publikováno v:
IEEE Access, Vol 10, Pp 60099-60113 (2022)
Image enhancement methods can be formulated as global transformations, local transformations, pixel-wise processing, or a mixture of these operations. Global transformations are limited in enhancing local image regions. Existing local and pixel-wise
Externí odkaz:
https://doaj.org/article/38bafda1825948018f1f749abffed26a
Autor:
Mohammed Abdelrazek Elsenbsy, Abdelrahman Abdelhamed Elsayed, Ahmed Mohamed Mohamed Younis, AbdelKader Ahmed Hashim
Publikováno v:
SVU - International Journal of Medical Sciences, Vol 4, Iss 2, Pp 341-347 (2021)
Background: Chronic kidney disease (CKD)-associated pruritus is a common complicationin patients with end-stage renal disease. Objectives: To compare the capabilities of hemodialysis (HD) and hemodiafiltration(HDF) in clearing toxins and their
Externí odkaz:
https://doaj.org/article/a25edc252888492fb9bbcf404464cf44
Publikováno v:
Assiut Veterinary Medical Journal. 69:108-119
Publikováno v:
Color and Imaging Conference. 29:7-12
Autor:
Ahmed Mohamed Mohamed Younis, Abdelrahman Abdelhamed Elsayed, AbdelKader Ahmed Hashim, Mohammed Abdelrazek Elsenbsy
Publikováno v:
SVU-International Journal of Medical Sciences. 4:341-347
Autor:
Abdelrahman Abdelhamed, Jonghwa Yim, Abhijith Punnappurath, Michael S. Brown, Jihwan Choe, Kihwan Kim
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Abhijith Punnappurath, Michael S. Brown, Abdelrahman Abdelhamed, Mahmoud Afifi, Hakki Can Karaimer, Abdullah Abuolaim
Publikováno v:
Scopus-Elsevier
Autor:
Kyeongha Rho, Qiong Yan, Marcin Mozejko, Jong Hyun Kim, Abdelrahman Abdelhamed, Kyungmin Song, Ioannis Marras, Youliang Yan, Matteo Maggioni, Yunhua Lu, Jiye Liu, Songhyun Yu, Krzysztof Trojanowski, Gregory G. Slabaugh, Pengliang Tang, Wei Liu, Xiaoling Zhang, Han Junyu, Jaayeon Lee, Gang Zhang, Sungho Kim, Yanhong Wu, Yuzhi Zhao, Zhangyu Ye, Tingniao Wang, Wonjin Kim, Yaqi Wu, Bumjun Park, Shusong Xu, Lukasz Treszczotko, Yunchao Zhang, Xiaomu Lu, Jingtuo Liu, Yanwen Fan, Zengli Yang, Yue Cao, Thomas Tanay, Xiyu Yu, Wangmeng Zuo, Tomasz Latkowski, Teng Xi, Sabari Nathan, Chenghua Li, Siliang Tang, Sujin Kim, Magauiya Zhussip, Xiwen Lu, Changyeop Shin, Fengshuo Hu, Yanpeng Cao, Michal Szafraniuk, Jechang Jeong, Jiangxin Yang, Mahmoud Afifi, Baopu Li, Ziyao Zong, Shuangquan Wang, Zhilu Zhang, Bin Liu, Jungwon Lee, Nan Nan, Youngjung Kim, Zhihao Li, Rajat Gupta, Shuailin Lv, Nisarg A. Shah, Hwechul Cho, Radu Timofte, Changyuan Wen, Yanlong Cao, Thomas S. Huang, Azamat Khassenov, Wendong Chen, Myungjoo Kang, Long Bao, Yuchen Fan, Dongwoon Bai, Yuqian Zhou, Jang-Hwan Choi, Pablo Navarrete Michelini, Meng Liu, Yiyun Zhao, Vineet Kumar, Michael S. Brown, Chunxia Lei, Zhihong Pan, Han-Soo Choi, Shuai Liu, Errui Ding, Priya Kansal
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new version of the previous NTIRE 2019 challenge on real image denoising that w
Autor:
Mahmoud Afifi, Abdullah Abuolaim, Michael S. Brown, Abdelrahman Abdelhamed, Abhijith Punnappurath
Cameras currently allow access to two image states: (i) a minimally processed linear raw-RGB image state (i.e., raw sensor data); or (ii) a highly-processed nonlinear image state (e.g., sRGB). There are many computer vision tasks that work best with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db7fb4499a954231ccaf0a1178b0d00b