Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Sven Loncaric"'
Publikováno v:
IEEE Access, Vol 11, Pp 2128-2137 (2023)
Color constancy is an important part of the human visual system, as it allows us to perceive the colors of objects invariant to the color of the illumination that is illuminating them. Modern digital cameras have to be able to recreate this property
Externí odkaz:
https://doaj.org/article/59f12542a4d042fc8a68168118d71242
Autor:
V. Anirudh Puligandla, Sven Loncaric
Publikováno v:
IEEE Access, Vol 10, Pp 98525-98534 (2022)
Supervoxels find applications as a pre-processing step in many image processing problems due to their ability to present a regional representation of points by correlating them into a set of clusters. Besides reducing the overall computational time f
Externí odkaz:
https://doaj.org/article/1f5aaca1263d445f89f1c780c119a681
Autor:
V. Anirudh Puligandla, Sven Loncaric
Publikováno v:
IEEE Access, Vol 10, Pp 61601-61616 (2022)
There have been numerous attempts at solving the optimal camera placement problem across multiple applications. Exact linear programming-based, as well as, heuristic combinatorial optimization methods were shown to be successful in providing optimal
Externí odkaz:
https://doaj.org/article/56ea2619c50e4bde844149755e98f3cf
Publikováno v:
IEEE Access, Vol 9, Pp 26755-26765 (2021)
In the image processing pipelines of digital cameras, one of the first steps is to achieve invariance in terms of scene illumination, namely computational color constancy. Usually, this is done in two successive steps which are illumination estimatio
Externí odkaz:
https://doaj.org/article/56b974c8d3c54ac9a10eb4ff80ded458
Publikováno v:
IEEE Access, Vol 8, Pp 84239-84247 (2020)
Color constancy is one of the key steps in the process of image formation in digital cameras. Its goal is to process the image so that there is no influence of illumination color on the colors of objects and surfaces. To capture the target scene colo
Externí odkaz:
https://doaj.org/article/e2a5659c91334858b86188bc7f2e873d
Autor:
Egor Ershov, Alexey Savchik, Illya Semenkov, Nikola Banic, Alexander Belokopytov, Daria Senshina, Karlo Koscevic, Marko Subasic, Sven Loncaric
Publikováno v:
IEEE Access, Vol 8, Pp 227511-227527 (2020)
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of t
Externí odkaz:
https://doaj.org/article/fe1b99615ffb48a7824b35ef6488ec1f
Autor:
Patricia Garcia-Canadilla, Jose F Rodriguez, Maria J Palazzi, Anna Gonzalez-Tendero, Patrick Schönleitner, Vedrana Balicevic, Sven Loncaric, Joost J F P Luiken, Mario Ceresa, Oscar Camara, Gudrun Antoons, Fatima Crispi, Eduard Gratacos, Bart Bijnens
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182915 (2017)
Experimental studies on isolated cardiomyocytes from different animal species and human hearts have demonstrated that there are regional differences in the Ca2+ release, Ca2+ decay and sarcomere deformation. Local deformation heterogeneities can occu
Externí odkaz:
https://doaj.org/article/c1b320ee731b44e38332c55f99974972
Autor:
Vedran Stipetic, Sven Loncaric
Publikováno v:
2022 7th International Conference on Frontiers of Signal Processing (ICFSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30dffebb4bd9b35ba41db6a5e525a2a0
https://doi.org/10.1109/icfsp55781.2022.9924925
https://doi.org/10.1109/icfsp55781.2022.9924925
Autor:
Egor Ershov, Alex Savchik, Denis Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Ling-Hao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Ozcan, Furkan Kirac, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (sRGB) space.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fdad34412ebf2166ac36eee38be4ca9
https://doi.org/10.1109/cvprw56347.2022.00135
https://doi.org/10.1109/cvprw56347.2022.00135
Images have an ever-increasing presence in our daily lives. This increases the need for accurate and efficient image processing. One of the first processing steps in modern cameras is image white-balancing, the process of making the image invariant t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46cf5d94bdebafde77bc574d35b63d19
https://doi.org/10.1016/j.patrec.2022.04.035
https://doi.org/10.1016/j.patrec.2022.04.035
