Work

Probabilistic regularization in inverse optical imaging

Year: 2000

Type: article

Abstract: The problem of object restoration in the case of spatially incoherent illumination is considered. A regularized solution to the inverse problem is obtained through a probabilistic approach, and a numerical algorithm based on the statistical analysis of the noisy data is presented. Particular emphasis is placed on the question of the positivity constraint, which is incorporated into the probabilistically regularized solution by means of a quadratic programming technique. Numerical examples illustrating the main steps of the algorithm are also given.

Source: Journal of the Optical Society of America A

DOI: 10.1364/josaa.17.001942

Authors: Enrico De Micheli, Giovanni Alberto Viano

Institutions: National Research Council, Istituto Nazionale di Fisica Nucleare, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, University of Genoa

Language: English

Topic: Numerical methods in inverse problems

Subfield: Mathematical Physics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2004731368

FWCI: 0.539

Cites: 20

Cited by: 4

Related to: 10