Mathematical modeling for calibrating illuminated image in image sensor communication

Image sensor communication (ISC) has become more imperative for the technology lover by virtue of the development of image sensors in the camera. Lately, Digital signage technology has become one of the most flourished industry for ISC technology as it has uncovered a lot of opportunities such as interactivity, dynamic content provisioning and so on. Granting all this opportuneness, there are some major issues in the case of ISC technology when the communication system specifies the communication by means of steganography process (Inserting data in the video image). Geometric and photometric transformations of the image are among them while the display and the camera act as a transmitter and a receiver in ISC, respectively. Due to this effect, the data can be changed or noise can be even more influential than the required signal. To achieve a relevant communication method, the influence of these transformational issues need to be taken into care. We proposed a mathematical modeling to figure out the photometric effects created by illumination from the light source of the environment in this paper. The channel model is used as non-Lambertian model. The novelty of this work implies the unification of computer vision and proposed channel model to remove the photometric transformational effects due to illumination in an image.