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Revealing Information by AveragingSami Arpa1,2 Sabine Süsstrunk1 Roger D. Hersch2 1Image and Visual Representation Lab 2Peripheral Systems Laboratory Ecole Polytechnique Fédérale de Lausanne AbstractWe present a method for hiding images in synthetic videos and reveal them by temporal averaging. The main challenge is to develop a visual masking method that hides the input image both spatially and temporally. Our masking approach consists of temporal and spatial pixel by pixel variations of the frequency band coefficients representing the image to be hidden. These variations ensure that the target image remains invisible both in the spatial and the temporal domains. In addition, by applying a temporal masking function derived from a dither matrix, we allow the video to carry a visible message that is different from the hidden image. The image hidden in the video can be revealed by software averaging, or with a camera, by long-exposure photography. The presented work may find applications in the secure transmission of digital information. MaterialsCitation
Sami Arpa, Sabine Süsstrunk, Roger D. Hersch
On The News
EPFL researchers took advantage of the limits of human vision to hide an image in a video.
They then used a camera’s adjustable exposure time to reveal the image.
- https://actu.epfl.ch/news/.
Cameras can reveal images that are hidden to the naked eye
- https://phys.org/.
Images fixes dissimulées dans une vidéo
- Https://www.elektormagazine.fr/.
La photo pour décoder le contenu d’une vidéo
- L'agefi.
Nuevo paso para la transmisión segura de información digital
- http://www.tendencias21.net/.
Cameras Reveal Images Hidden to the Naked Eye
- https://www.rdmag.com/.
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