Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/195932
Title: Back-compatible Color QR Codes for colorimetric applications
Author: Benito Altamirano, Ismael
Martínez Carpena, David
Casals, Olga
Fàbrega Gallego, Cristian
Waag, Andreas
Prades García, Juan Daniel
Keywords: Visió per ordinador
Reconeixement de formes (Informàtica)
Colorimetria
Computer vision
Pattern recognition systems
Colorimetry
Issue Date: Jan-2023
Publisher: Elsevier Ltd
Abstract: Color correction techniques in digital photography often rely on the use of color correction charts, which require including this relatively large object in the field of view. We propose here to use QR Codes to pack these color charts in a compact form factor, in a fully compatible manner with conventional black and white QR Codes; this is, without losing any of their easy location, sampling and digital data storage features. First, we present an algorithm to build these new colored QR Codes that preserves the original QR Code functionality - much more than other coloring proposals based on the random substitution of black and white pixels by colors - that relies on the ability of the native CRC code to correct and counteract these alterations. Second, we demonstrate that, as a result, these QR Codes can allocate far many more colors than the conventional color correction charts, enabling much more accurate color correction schemes in a more convenient and usable format.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.patcog.2022.108981
It is part of: Pattern Recognition, 2023, vol. 133, p. 1-14
URI: http://hdl.handle.net/2445/195932
Related resource: https://doi.org/10.1016/j.patcog.2022.108981
ISSN: 0031-3203
Appears in Collections:Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)

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