Spherical Aberration and Scattering Compensation in Digital Imaging by a New Blind Deconvolution Method
Francisco J. Ávila · Research Square · 2022
Abstract 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 travels from the object to the final imaging plane. Computation of the Point Spread Function (PSF) of an optical system is the most extended assessment method. This PSF can be affected by the diffraction and aberrations that degrade the image. Moreover, if a turbid medium is present, the scattering effects spread the light over a wide angular distribution. If the mathematical operator that degrades the final image is known, then the image can be restored using deconvolution methods. In extreme cases in which the PSF is unknown, blind deconvolution procedures are the only way to perform restoration. In this study, a new approach based on blind deconvolution theory is proposed to restore images from spherical aberration and light scattering contributions. The algorithm was tested using both theoretical and experimental imaging techni ques. The results showed the capability of the method to generate theoretical quasi-optimal SA and scattering PSFs, and then restoe both pathological and astronomical imaging without prior information on the real PSF.