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Programming and Computer Software
Erschienen in: Programming and Computer Software 2/2023

01.12.2023

White Balance Correction for Detecting Holograms in Color Images of Black-and-White Photographs

verfasst von: D. V. Polevoi, E. I. Panfilova, D. P. Nikolaev

Erschienen in: Programming and Computer Software | Sonderheft 2/2023

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Abstract

The key feature of optically variable elements is the appearance and disappearance of high saturation colors during shooting under different angles. The accuracy of color saturation measurement algorithms is limited by the automatic white balance correction subsystem, which uncontrollably changes the color characteristics of the image from frame to frame. In this paper, the possibility of using a priori information about color consistency of the document area to compensate for distortion of the white balance is considered using examples of document owner monochrome photographs. The proposed method of color correction increases the contrast of color saturation between the unprotected areas of the photograph and the areas covered by visually variable image on the protective film. The method is tested on reference data obtained with a mobile device.
Nächster Artikel Analysis of Traces on Discharged Bullets by the Congruent Matching Profile Segments Method and k-Nearest Neighbors

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Metadaten
Titel
White Balance Correction for Detecting Holograms in Color Images of Black-and-White Photographs
verfasst von
D. V. Polevoi
E. I. Panfilova
D. P. Nikolaev
Publikationsdatum
01.12.2023
Verlag
Pleiades Publishing
Erschienen in
Programming and Computer Software / Ausgabe Sonderheft 2/2023
Print ISSN: 0361-7688
Elektronische ISSN: 1608-3261
DOI
https://doi.org/10.1134/S0361768823100067

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