Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Karlo Koscevic"'
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:
Riccardo Riva, Artem Nikonorov, Alex Savchik, Dmitry P. Nikolaev, Simone Bianco, Arseniy P. Terekhin, Sven Lončarić, Karlo Koscevic, Marco Buzzelli, Yanlin Qian, Marko Subasic, Daria Senshina, Raimondo Schettini, Egor I. Ershov, Ilya Semenkov, Alexander Belokopytov, Zhihao Li, Nikola Banic, Jonathan T. Barron
Publikováno v:
Color Research & Application. 46:705-718
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an accurate and reliable illumination estimation is important for reducing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1ca822a84fbefa3d6783a15377c9881
https://doi.org/10.1002/col.22675
https://doi.org/10.1002/col.22675
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
Autor:
Nikola Banic, Sven Lončarić, Vedran Stipetić, Marko Subasic, Karlo Koscevic, Edoardo Provenzi
Publikováno v:
ISPA-12th Int'l Symposium on Image and Signal Processing and Analysis
ISPA-12th Int'l Symposium on Image and Signal Processing and Analysis, Sep 2021, Zagreb, Croatia
ISPA
ISPA-12th Int'l Symposium on Image and Signal Processing and Analysis, Sep 2021, Zagreb, Croatia
ISPA
International audience; In this paper, a local tone mapping operator is proposed. It is based on the theory of sprays introduced in the Random Sprays Retinex algorithm, a white balance algorithm dealing with the locality of color perception. This ton
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9b509bd064a5ec9df4b13b6162ec634
https://hal.archives-ouvertes.fr/hal-03276191
https://hal.archives-ouvertes.fr/hal-03276191
Publikováno v:
Computer Science & Information Technology (CS & IT).
Computational color constancy is used in almost all digital cameras to reduce the influence of scene illumination on object colors. Many of the highly accurate published illumination estimation methods use deep learning, which relies on large amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae09b47f72aa0b1c6369eb3d547b7892
https://doi.org/10.5121/csit.2020.101903
https://doi.org/10.5121/csit.2020.101903
Publikováno v:
Proceedings of the 2020 2nd Asia Pacific Information Technology Conference.
Deep learning methods have achieved a large step forward in many computer vision applications. With mechanisms such as attention, deep models can now guide themselves to focus on parts of an image that are more significant for a given task. In comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6132d80e855940714204a0be6548fe
https://doi.org/10.1145/3379310.3379329
https://doi.org/10.1145/3379310.3379329
Autor:
Daria Senshina, Marko Subasic, Karlo Koscevic, Alexander Belokopytov, Alexey Savchik, Egor I. Ershov, Sven Lončarić, Nikola Banic, Illya Semenkov
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91ed16ffbf5a0923f3aa0e4c2e26ede
https://doi.org/10.1109/access.2020.3045066
https://doi.org/10.1109/access.2020.3045066
Publikováno v:
ICVISP
Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object colors. Several benchmark color constancy datasets have been created for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3854f2188e029d3da438ee43de9c571e
http://arxiv.org/abs/1903.12581
http://arxiv.org/abs/1903.12581