000132496 001__ 132496
000132496 005__ 20260219090926.0
000132496 0247_ $$2doi$$a10.3390/jimaging10020043
000132496 0248_ $$2sideral$$a137638
000132496 037__ $$aART-2024-137638
000132496 041__ $$aeng
000132496 100__ $$0(orcid)0000-0002-9068-7728$$aÁvila, Francisco J.$$uUniversidad de Zaragoza
000132496 245__ $$aSpherical Aberration and Scattering Compensation in Microscopy Images through a Blind Deconvolution Method
000132496 260__ $$c2024
000132496 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132496 5203_ $$aThe optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium the light passes while travelling from the object to the image plane. The computation of the point spread function (PSF) associated to the optical system is often used to assess the image quality. In a non-ideal optical system, the PSF is affected by aberrations that distort the final image. Moreover, in the presence of turbid media, the scattering phenomena spread the light at wide angular distributions that contribute to reduce contrast and sharpness. If the mathematical degradation operator affecting the recorded image is known, the image can be restored through deconvolution methods. In some scenarios, no (or partial) information on the PSF is available. In those cases, blind deconvolution approaches arise as useful solutions for image restoration. In this work, a new blind deconvolution method is proposed to restore images using spherical aberration (SA) and scatter-based kernel filters. The procedure was evaluated in different microscopy images. The results show the capability of the algorithm to detect both degradation coefficients (i.e., SA and scattering) and to restore images without information on the real PSF.
000132496 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113919RB-I00
000132496 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000132496 590__ $$a3.3$$b2024
000132496 592__ $$a0.662$$b2024
000132496 593__ $$aComputer Graphics and Computer-Aided Design$$c2024$$dQ1
000132496 593__ $$aElectrical and Electronic Engineering$$c2024$$dQ2
000132496 593__ $$aRadiology, Nuclear Medicine and Imaging$$c2024$$dQ2
000132496 593__ $$aComputer Vision and Pattern Recognition$$c2024$$dQ2
000132496 594__ $$a6.7$$b2024
000132496 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132496 700__ $$aBueno, Juan M.
000132496 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica
000132496 773__ $$g10, 2 (2024), 43 [14 pp.]$$tJOURNAL OF IMAGING$$x2313-433X
000132496 8564_ $$s8761416$$uhttps://zaguan.unizar.es/record/132496/files/texto_completo.pdf$$yVersión publicada
000132496 8564_ $$s2723969$$uhttps://zaguan.unizar.es/record/132496/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132496 909CO $$ooai:zaguan.unizar.es:132496$$particulos$$pdriver
000132496 951__ $$a2026-02-19-08:59:58
000132496 980__ $$aARTICLE