Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Nikola Banic"'
Autor:
Nikola Banic, Neven Elezovic
Publikováno v:
IEEE Access, Vol 9, Pp 1807-1832 (2021)
Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may be more easily found in terms of the histogram smoothness where techniq
Externí odkaz:
https://doaj.org/article/2c7f90b933504205b765b8f1d4208cd7
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
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
Autor:
Neven Elezović, Nikola Banic
Publikováno v:
IEEE Access, Vol 9, Pp 1807-1832 (2021)
Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may be more easily found in terms of the histogram smoothness where techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d63a7c7635613ffa88b2053199eae41
Publikováno v:
ISPA
Image matching by using keypoint detectors and descriptors is used in many image processing and computer vision tasks. While many detectors and descriptors result in accurate matching, they have difficulties on images that are blurry and out of focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::331dc59f986f9608328a1785b5ed267f
https://doi.org/10.1109/ispa.2019.8868669
https://doi.org/10.1109/ispa.2019.8868669
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