Jörn Jochims

Channel Model for Differential Display-Camera Communication


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ISBN:

978-3-8440-9381-0

Series:

Dortmunder Beiträge zur Kommunikationstechnik
Herausgeber: Prof. Dr.-Ing. Rüdiger Kays
Dortmund

Volume:

Keywords:

Visible Light Communication; Display-Camera Communication; Channel Model

Type of publication:

Thesis

Language:

English

Pages:

224 pages

Figures:

78 figures

Weight:

294 g

Format:

21 x 14,8 cm

Binding:

Paperback

Price:

59,80 € / 74,80 SFr

Published:

February 2024

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Abstract:

Display-Camera Communication (DCC) is a special type of Visible Light Communication that utilizes digital displays as transmitters and cameras as receivers, enabling high rate optical free-space communication. For DCC systems it can be differentiated between non-hidden approaches, for which the data presented on the transmitting display is visible to observers, and hidden approaches, implementing a data transmission that is imperceptible to the human eye.

The DCC channel suffers from various noise and interference effects that must be considered when describing the channel: Photon noise and dark noise in the receiver camera decrease the achievable SNR. Also, the timings of transmitting display and receiving camera are usually not synchronized, possibly leading to interference between different presented frames of the display in the captured images of the receiver camera. Furthermore, the optical system of the camera introduces blur, which together with the random alignment between display and camera inevitably leads to spatial interference in the data blocks of the overlaid data patterns. Lastly, when overlaying data in multiple color channels simultaneously, crosstalk between color channels can be observed.

A novel channel model for the differential DCC channel with imperceptible data transmission, for which data is overlaid to arbitrary image content, is presented in this work. The model incorporates the noise and interference effects mentioned above giving insights on the achievable channel capacity based on the underlying image content and the display and camera hardware used.