| Autor: |
Ismael Benito-Altamirano, David Martínez-Carpena, Olga Casals, Cristian Fàbrega, Andreas Waag, Joan Daniel Prades |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Data in Brief, Vol 46, Iss , Pp 108780- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2022.108780 |
| Popis: |
Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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