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001-es BibID:	BIBFORM109841
035-os BibID:	(Scopus)85140985126
Első szerző:	Csoba István (programtervező informatikus)
Cím:	Fast, GPU-based Computation of Large Point-Spread Function Sets for the Human Eye using the Extended Nijboer-Zernike Approach / István Csoba, Roland Kunkli
Dátum:	2022
Megjegyzések:	The point-spread function (PSF) is the diffraction pattern of an infinitesimal light source and plays an important role in the study and simulation of human vision. It forms the backbone of a multitude of vision-rendering algorithms, as it can be used to obtain the necessary kernels for convolution. Its computation is often performed via ray-tracing or the fast Fourier transform (FFT), but recently we also demonstrated that the Extended Nijboer-Zernike (ENZ) approach can be a more efficient alternative, which reduces the computation time of large PSF sets to just a few minutes. In this paper, we present a significantly faster, GPU-based computation scheme of the ENZ approach to further improve the computation process for such large PSF sets. Our algorithm works by reformulating the core V^m_n function to reusable subterms that are efficient to accumulate in parallel. We demonstrate that our proposed method leads to substantial performance improvements and facilitates the interactive exploration of visual aberrations when paired with our existing vision simulation algorithm.
ISBN:	978-1-6654-9653-7
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet optics human vision point-spread functions parallel computation
Megjelenés:	2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / István Fazekas. - p. 69-73. -
További szerzők:	Kunkli Roland (1982-) (matematika, informatika, ábrázoló geometria szakos tanár)
Pályázati támogatás:	EFOP-3.6.3-VEKOP-16-2017-00002 EFOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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