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Journal of mathematical imaging and vision, 2019-05, Vol.61 (4), p.515-533
2019
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Autor(en) / Beteiligte
Titel
Automatic Flare Spot Artifact Detection and Removal in Photographs
Ist Teil von
  • Journal of mathematical imaging and vision, 2019-05, Vol.61 (4), p.515-533
Ort / Verlag
New York: Springer US
Erscheinungsjahr
2019
Quelle
Springer Online Journals【Remote access available】
Beschreibungen/Notizen
  • Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view. When light rays coming from a high-luminance source reach the front element of a camera, it can produce intra-reflections within camera elements that emerge at the film plane forming non-image information or flare on the captured image. Even though preventive mechanisms are used, artifacts can appear. In this paper, we propose a robust computational method to automatically detect and remove flare spot artifacts. Our contribution is threefold: firstly, we propose a characterization which is based on intrinsic properties that a flare spot is likely to satisfy; secondly, we define a new confidence measure able to select flare spots among the candidates; and, finally, a method to accurately determine the flare region is given. Then, the detected artifacts are removed by using exemplar-based inpainting. We show that our algorithm achieves top-tier quantitative and qualitative performance.
Sprache
Englisch
Identifikatoren
ISSN: 0924-9907
eISSN: 1573-7683
DOI: 10.1007/s10851-018-0859-0
Titel-ID: cdi_proquest_journals_2207240034

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