Spherical Aberration and Scattering Compensation in Microscopy Images through a Blind Deconvolution Method

Ávila, Francisco J. (Universidad de Zaragoza) ; Bueno, Juan M.

Resumen: The 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.

Idioma: Inglés

DOI: 10.3390/jimaging10020043

Año: 2024

Publicado en: JOURNAL OF IMAGING 10, 2 (2024), 43 [14 pp.]
ISSN: 2313-433X

Factor impacto JCR: 3.3 (2024)

Factor impacto CITESCORE: 6.7 - Electrical and Electronic Engineering (Q1) - Computer Vision and Pattern Recognition (Q1) - Computer Graphics and Computer-Aided Design (Q1) - Radiology, Nuclear Medicine and Imaging (Q1)

Factor impacto SCIMAGO: 0.662 - Computer Graphics and Computer-Aided Design (Q1) - Electrical and Electronic Engineering (Q2) - Radiology, Nuclear Medicine and Imaging (Q2) - Computer Vision and Pattern Recognition (Q2)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113919RB-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Óptica (Dpto. Física Aplicada)