This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. The technology may be applied to retail packages and other printed objects, e.g., such as hang tags, labels and receipts.

Data processing is disclosed including acquiring a first target image to be embedded with information and to-be-embedded information, acquiring, using the first target image, a second target image corresponding to the first target image, the second target image corresponding to an image including low-luminance pixels in the first target image, the low-luminance pixels being pixels having a luminance no higher than a luminance threshold value in the first target image, selecting candidate image areas from the second target image, determining a target embedding position for the to-be-embedded information in the first target image based on the candidate image areas, and embedding the to-be-embedded information in the target embedding position in the first target image.

Systems, methods, and computer program products for determining an attack on a neural network. A data sample is received at a first classifier neural network and at a watermark classifier neural network, wherein the first classifier neural network is trained using a first dataset and a watermark dataset. The first classifier neural network determines a classification label for the data sample. A watermark classifier neural network determines a watermark classification label for the data sample. A data sample is determined as an adversarial data sample based on the classification label for the data sample and the watermark classification label for the data sample.

A cell phone is disclosed for acquiring information to be transmitted to a receiving facility and for transmitting such thereto. A capture device captures information from an external source. A processor is provided for associating with the captured information a representation of the date and time of the capture of the information, such that the representation of the date and time information in association with the captured information forms augmented captured information. The processor also places the augmented captured information in association with subscriber information in a transmission of the augmented captured information to a receiving facility requiring such subscriber information. A transmitter transmits the transmission including the augmented captured information and the subscriber information to the receiving facility. An encryptor encrypts the augmented captured information with a symmetrical encryption algorithm to provide encrypted augmented captured information in the transmission with the subscriber information.

Systems, methods, and computer program products for determining an attack on a neural network. A data sample is received at a first classifier neural network and at a watermark classifier neural network, wherein the first classifier neural network is trained using a first dataset and a watermark dataset. The first classifier neural network determines a classification label for the data sample. A watermark classifier neural network determines a watermark classification label for the data sample. A data sample is determined as an adversarial data sample based on the classification label for the data sample and the watermark classification label for the data sample.

This application relates to an image processing method and apparatus, a storage medium, and a computer device. The method includes: obtaining a frequency domain mark image, the frequency domain mark image being obtained by performing frequency domain transformation on a spatial domain mark image; obtaining a transparency parameter configured corresponding to the frequency domain mark image; obtaining target page data; and performing layer superimposition rendering of the frequency domain mark image and the target page data according to the transparency parameter. The solution provided in this application can effectively protect target page data.

This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One implementation is directed a printed object comprising: a substrate comprising a first area; a first colored ink or design printed within the first area, the first colored ink or design comprising a spectral reflectivity of less than or equal to 20% at or around 660 nm; a colored ink mixture printed over the first colored ink or design at a first plurality of spatial locations within the first area, the colored ink mixture printed such that the first area comprises a second plurality of spatial locations without the colored ink mixture, the colored ink mixture comprising opaque white ink and a first colorant, wherein the color ink mixture comprises a spectral reflectivity greater than the first colored ink or design at or around 660 nm, and wherein colored ink mixture comprises a spectral reflectivity less than the first colored ink or design in the range of 495 nm-570 nm; in which the first plurality of spatial locations is arranged in a pattern conveying an encoded signal, and in which the first colored ink or design and the colored ink mixture comprise a spectral reflectivity difference at or around 660 nm in a difference range of 8%-30%. Of course, other objects, methods, packages, labels, containers, systems and apparatus are described in this patent document.

A method and apparatus for embedding a digital watermark in image content that is not visible to the human eye is performed on single-sensor digital camera images (often called ‘raw’ images) from a pixel-array. The raw image is transformed to generate preprocessed image coefficients, a watermark message is encrypted using a first key; the encrypted watermark message is randomized using a second key to form a watermark; and the watermark is embedded in randomly selected preprocessed image coefficients.

Various embodiments are generally directed to utilizing a steganographically encoded image with an offline and/or online verification or authentication protocol. A method for using the steganographic image can include: receiving or utilizing a steganographic image associated with a user at a third-party device, the steganographically encoded image including an identification of a user steganographically encoded with a fingerprint template of the user, and authenticating the user using the steganographically encoded image.

A system, method and computer program product for protecting a deep neural network image classifier against receiving perturbed images. A plurality of watermark bits are embedded into an original digital image intended for the deep neural network image classifier. The watermarked image is transmitted through a potentially adversarial environment. A potentially perturbed image intended for the deep neural network image classifier is received from the potentially adversarial environment. The potentially perturbed image is determined to be an adversely modified or benign image by determining whether the potentially perturbed image includes a plurality of embedded bits matching the plurality of watermark bits embedded into the original digital image. The potentially perturbed image is prevented from being provided to the deep neural network image classifier in response to determining that the potentially perturbed image is the adversely modified image.