Abstract | ||
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We present a channel-wise (CW) framework for data embedding in display images using barcodes. Data are embedded in one or more channels of the color image encoded as a monochrome barcode pattern and extracted from the corresponding channels by the decoder. We highlight two advantageous schemes, realized in the proposed framework: red, green, blue CW barcodes (RGB-CWBs), and blue channel image-barcodes (BC-IBs). Compared with a conventional monochrome black and white barcode BW-B with the same spatial footprint, RGB-CWBs utilize the three channels of color image more effectively and enable a three-fold increase in data rate, whereas BC-IBs significantly reduce the embedding distortion by exploiting the reduced sensitivity of the visual system to spatial detail in blue colors. For RGB-CWBs, we develop an effective framework for the cancellation of cross-channel interference between the display and capture channels using a model for the display and capture processes and for the ambient illumination. Model parameters required for interference cancellation (IC) are learned on-the-fly using either expectation-maximization or through suitable design of the synchronization patterns as "pilot-blocks." Extensive experiments over multiple display and capture devices validate the advantages of the framework: RGB-CWBs (with IC) and the BC-IBs offer bit error rates comparable to their monochrome counterparts while providing either a three-fold increase in data rate or a significant reduction in distortion, respectively. (C) 2019 SPIE and IS&T |
Year | DOI | Venue |
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2019 | 10.1117/1.JEI.28.3.033021 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
RGB channel-wise barcodes,blue channel image-barcodes,cross-channel interference,S-CIELAB | Computer vision,Computer science,Communication channel,Artificial intelligence | Journal |
Volume | Issue | ISSN |
28 | 3 | 1017-9909 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Karthik Dinesh | 1 | 17 | 3.12 |
Jiangfeng Lu | 2 | 1 | 0.40 |
Shingirai Dhoro | 3 | 1 | 0.40 |
Gaurav Sharma | 4 | 640 | 56.64 |