This patent document discloses physical documents including metameric ink pairs. One claim recites a document comprising: a first surface; a second surface, in which the first surface comprises a first set of print structures and a second set of print structures, in which the first set of print structures and the second set of print structures collective convey an encoded signal discernable from optical scan data representing at least a first portion of the first surface, in which the first set of print structures is provided on the first surface with a first ink and the second set of print structures is provided on the first surface with a second, different ink, and in which the first ink and the second, different ink comprise a metameric pair. Of course, other claims and combinations are described as well.

Systems and methods are directed to a computing system. The computing system can include one or more processors, a message embedding model, a message extraction model, and a first set of instructions that cause the computing system to perform operations including obtaining the three-dimensional image data and the message vector. The operations can include inputting three-dimensional image data and a message vector into the message embedding model to obtain encoded three-dimensional image data. The operations can include using the message extraction model to extract an embedded message from the encoded three-dimensional image data to obtain a reconstructed message vector. The operations can include evaluating a loss function for a difference between the reconstructed message vector and the message vector and modifying values for parameters of at least the message embedding model based on the loss function.

The present disclosure relates generally to signal encoding for printed objects such as product packaging, labels and hangtags. One implementation obtains a color image representing CMY color channels, and alters the color image to include an encoded signal by altering values representing CIELAB a* and b*, all the while keeping L* on or within a predetermined tolerance of a contour representing a constant value. Other implementations are provided.

The present invention generally relates to the field of automated and flexible information extraction and protection for graphical data. In particular, the invention provides a unique platform for analyzing, classifying, extracting, and processing information from images using deep learning image detection models. Embodiments of the inventions are configured to provide an end to end automated solution for intelligently hiding or obscuring private data from graphical displays via the use of embedded steganographic image data techniques.

At a high level, embodiments of the invention relate to augmenting video data with presence data derived from one or more proximity tags. More specifically, embodiments of the invention generate forensically authenticated recordings linking video imagery to the presence of specific objects in or near the recording. One embodiment of the invention includes video recording system comprising a camera, a wireless proximity tag reader, a storage memory and control circuitry operable to receive image data from the camera receive a proximity tag identifier identifying a proximity tag from the proximity tag reader, and store an encoded frame containing the image data and the proximity tag identity in the storage memory.

Systems, computer program products, and methods are described herein for implementing steganography based augmented reality platform. The present invention is configured to provide an augmented reality application for installation on a computing device of a user; receive, via the augmented reality application, a real-time visual feed, wherein the real-time visual feed comprises an image, wherein the image comprises a message that is steganographically embedded therein; determine that the computing device of the user is authorized to access the message embedded in the image in the visual feed; and generate an acknowledgement that the computing device of the user is authorized to access the message embedded in the image in the visual feed; and transmit control signals configured to cause the computing device of the user to overlay, via the augmented reality application, the acknowledgement in a vicinity of the image in the real-time visual feed.

A method and computer programs for detecting document regions that will be excluded from a watermark embedding process are disclosed. The method comprises converting, by an adapter module, at least one page of a received document into a visual representation thereof, the visual representation keeping the position of the characters of the at least one page; receiving, by a text detector, the visual representation; processing, by the text detector, the visual representation using one or more artificial intelligence algorithms, and returning a list of invalid regions with their associated page positions as a result, wherein each invalid region of the list of invalid regions may have associated thereto a confidence score; and using, by a watermark embedding module or by a watermark extracting module, the list of invalid regions to provide a watermarked document or a message embedded in the document.

A digital watermark analysis apparatus, comprising an image capturing unit for capturing a printed product where additional information is embedded by superimposing a pattern on an image to acquire a captured image, a calculation unit for calculating a spatial frequency characteristic of each small area in the captured image, a specifying unit for specifying an embedded signal strength and an embedding position of the additional information, a decision unit for deciding, based on the embedding position information and the embedded signal strength information, a position in the captured image of a marker detection area for detecting a marker as a reference position for acquiring the additional information, and an acquisition unit for detecting a marker in the marker detection area and acquiring the additional information in the captured image with reference to the detected marker.

A computer system for the creation of subliminal image or watermarks where the apparent video is an “obvious” image and a subliminal or “clandestine” image or watermark is hidden within the data structure. The concept is envisioned for the cloaking of images, sound, video or like digitized non-coded information. The cloaked files may be intended for storage, transmission, or clandestine placement in a public file system. The watermark may be used for the subliminal marking of a source of a file, its creation, or for tagging copyrighted information.

The disclosed techniques are focused on processes for encoding an enhanced image with non-image data. Notably, the “non-image data” is distinct from “image data” in that the image data defines display characteristics of an image (e.g., display properties of a pixel) while the non-image data is unrestricted and can describe any data, even data different than display characteristics. An image is accessed, where the image includes at least one pixel that is associated with at least one color channel. Non-image data is encoded into the color channel. An index, which maps where the non-image data has been encoded in the color channel of the pixel, is generated or modified. As a result of encoding the non-image data into the color channel, an enhanced image is generated.