{
  "annotation_id": "8d795a0b-441c-4905-b0bd-e4b1bba068e4",
  "date_created": "2026-03-02T18:01:10.962000Z",
  "date_modified": "2026-03-02T18:01:10.962000Z",
  "file_hash": "436c9a6424c395e700cb4458a0fa4a06d83a8a1ed4eb20bce103efa4964bc96e",
  "private": false,
  "record": {
    "abstract": "The problem of object restoration in the case of spatially incoherent\nillumination is considered. A regularized solution to the inverse problem is\nobtained through a probabilistic approach, and a numerical algorithm based on\nthe statistical analysis of the noisy data is presented. Particular emphasis is\nplaced on the question of the positivity constraint, which is incorporated into\nthe probabilistically regularized solution by means of a quadratic programming\ntechnique. Numerical examples illustrating the main steps of the algorithm are\nalso given.",
    "arxiv_id": "physics/0608070",
    "authors": [
      "Enrico De Micheli",
      "Giovanni Alberto Viano"
    ],
    "categories": [
      "physics.optics"
    ],
    "doi": "10.1364/JOSAA.17.001942",
    "journal_ref": "J. Opt. Soc. Am. A 17, 1942-1951 (2000)",
    "title": "Probabilistic Regularization in Inverse Optical Imaging",
    "url": "https://arxiv.org/abs/physics/0608070"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "95b0c3b1-3a9e-4a63-8cac-4209d6f35485",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}