@article{MTMT:34417874,
	title = {Evaluating dehazing techniques on artificial and satellite land surface images},
	url = {https://m2.mtmt.hu/api/publication/34417874},
	author = {Fridvalszky, András Máté and Tóth, Balázs György and Szécsi, László},
	doi = {10.28974/idojaras.2023.4.2},
	journal-iso = {IDŐJÁRÁS},
	journal = {IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE},
	volume = {127},
	unique-id = {34417874},
	issn = {0324-6329},
	abstract = {Many image-based recognition tasks are highly susceptible to different types of natural phenomena like foggy weather, snow, or rain. The participating media will likely obscure important details necessary for these algorithms to work correctly. Still, these aspects could be recovered in certain situations with prior information about the underlying light interactions. This could be done with certain heuristics or with the nowadays popular deep-learning based methods. In this paper, we review and compare the results of two approaches to remove or scale down the effects of foggy weather. We also examine how these results can be applied to high resolution satellite images of land surfaces.},
	keywords = {CLOUDS; fog; dehazing},
	year = {2023},
	eissn = {0324-6329},
	pages = {447-457},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}

@inproceedings{MTMT:32850498,
	title = {Analysis of a deep learning based fog removal technique},
	url = {https://m2.mtmt.hu/api/publication/32850498},
	author = {Fridvalszky, András Máté and Tóth, Márton József and Tóth, Balázs György},
	booktitle = {Proceedings of the Workshop on the Advances in Information Technology 2022},
	unique-id = {32850498},
	year = {2022},
	pages = {29-33},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}

@article{MTMT:31836579,
	title = {Robust Compartmental Model Fitting in Direct Emission Tomography Reconstruction},
	url = {https://m2.mtmt.hu/api/publication/31836579},
	author = {Szirmay-Kalos, László and Kacsó, Ágota Enikő and Magdics, Milán and Tóth, Balázs György},
	doi = {10.1007/s00371-020-02041-x},
	journal-iso = {VISUAL COMPUT},
	journal = {VISUAL COMPUTER},
	volume = {38},
	unique-id = {31836579},
	issn = {0178-2789},
	abstract = {Dynamic tomography reconstructs a time activity curve (TAC) for every voxel assuming that the algebraic form of the function is known a priori. The algebraic form derived from the analysis of compartmental models depends nonlinearly on the nonnegative parameters to be determined. Direct methods apply fitting in every iteration step. Because of the iterative nature of the maximum likelihood–expectation maximization (ML–EM) reconstruction, the fitting result of the previous step can serve as a good starting point in the current step; thus, after the first iteration we have a guess that is not far from the solution, which allows the use of gradient-based local optimization methods. However, finding good initial guesses for the first ML–EM iteration is a critical problem since gradient-based local optimization algorithms do not guarantee convergence to the global optimum if they are started at an inappropriate location. This paper examines the robust solution of the fitting problem both in the initial phase and during the ML–EM iteration. This solution is implemented on GPUs and is built into the 4D reconstruction module of the TeraTomo software.},
	year = {2022},
	eissn = {1432-2315},
	pages = {655-668},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315; Magdics, Milán/0000-0003-4298-1022}
}

@CONFERENCE{MTMT:32850668,
	title = {Real-time ambient lighting with raytracing},
	url = {https://m2.mtmt.hu/api/publication/32850668},
	author = {Fridvalszky, András Máté and Tóth, Balázs György},
	booktitle = {Képfeldolgozók és Alakfelismerők társaságának 13. konferenciája},
	unique-id = {32850668},
	year = {2021},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}

@CONFERENCE{MTMT:33531572,
	title = {Optimizing multisample anti-aliasing for deferred renderers},
	url = {https://m2.mtmt.hu/api/publication/33531572},
	author = {Fridvalszky, András Máté and Tóth, Balázs György},
	booktitle = {Proceedings of CESCG 2020: The 24th Central European Seminar on Computer Graphics},
	unique-id = {33531572},
	year = {2020},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}

@inbook{MTMT:32252580,
	title = {Modeling of Depth of Interaction with Inter-crystal Scattering for PET Reconstruction},
	url = {https://m2.mtmt.hu/api/publication/32252580},
	author = {Szirmay-Kalos, László and Varnyú, Dóra and Magdics, Milán and Tóth, Balázs György},
	booktitle = {2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)},
	doi = {10.1109/NSS/MIC42677.2020.9507795},
	unique-id = {32252580},
	year = {2020},
	pages = {1-6},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315; Varnyú, Dóra/0000-0002-9220-5868; Magdics, Milán/0000-0003-4298-1022}
}

@inproceedings{MTMT:31998587,
	title = {Többmintás élsimítás alkalmazása deferred shading esetében},
	url = {https://m2.mtmt.hu/api/publication/31998587},
	author = {Fridvalszky, András Máté and Tóth, Balázs György},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2020 : WAIT 2020},
	unique-id = {31998587},
	year = {2020},
	pages = {117},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}

@book{MTMT:31913818,
	title = {Korszerű valós idejű 3D algoritmusok AR/VR alkalmazásokhoz},
	url = {https://m2.mtmt.hu/api/publication/31913818},
	isbn = {9789634981183},
	author = {Tóth, Balázs György},
	publisher = {NKE Közigazgatási Továbbképzési Intézet},
	unique-id = {31913818},
	year = {2020}
}

@book{MTMT:31913805,
	title = {Képmegjelenítés és animáció 3D rendszereken},
	url = {https://m2.mtmt.hu/api/publication/31913805},
	isbn = {9789634983910},
	author = {Tóth, Balázs György and Jakab, László},
	publisher = {NKE Közigazgatási Továbbképzési Intézet},
	unique-id = {31913805},
	year = {2020}
}

@CONFERENCE{MTMT:31334325,
	title = {Multisample Anti-aliasing in Deferred Rendering},
	url = {https://m2.mtmt.hu/api/publication/31334325},
	author = {Fridvalszky, András Máté and Tóth, Balázs György},
	booktitle = {Eurographics Short Papers},
	doi = {10.2312/egs.20201008},
	unique-id = {31334325},
	year = {2020},
	pages = {21-24},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280}
}