This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description includes an apparatus comprising: memory storing an image comprising a plurality of color channels; means for locating image areas including an encoded signal with each color channel of the plurality of color channels, said means for locating identifying a plurality of image areas; means for generating one or more detectability measures corresponding to the encoded signal for each of the plurality of image areas; means for determining whether the encoded signal can be decoded from the plurality of image areas to obtain a plural-bit message component carried therein; means for selecting, per color channel, only one (1) image area as a validation point based on one or more generated detectability measures for that color channel, and based on whether the one (1) image area includes a decodable plural-bit message component; and means for generating information associated with a spatial location of each of the validation points in the image. Of course, other technology, features and combinations are described as well.

An image processing apparatus obtains information of a digital watermark based on an image obtained by causing an image capturing device to capture a print product in which the digital watermark is embedded. An image capturing unit is configured to cause the image capturing device to capture a plurality of areas on the print product by repeating continuous shooting a plurality of times under a plurality of image capturing conditions. A selection unit is configured to select, from a plurality of images obtained by the plurality of times of the continuous shooting by the image capturing unit, an image from which the information of the digital watermark is to be obtained. An obtaining unit is configured to obtain the information of the digital watermark based on the image selected by the selection unit from the plurality of images obtained by the respective times of the continuous shooting by the image capturing unit.

This disclosure relates to advanced signal processing technology including signal encoding and digital watermarking. Image areas are selected in an encoded digital design, and corresponding areas from a printed version of the encoded digital design are evaluated to determined signal robustness after printing. One claim recites an image processing method for selecting image areas to test for robustness of encoded signals, the method comprising: obtaining digital artwork comprising a plurality of colors, the digital artwork comprising multiple instances of an encoded signal; selecting a set encoding tiles, and for each encoding tile determining encoding detectability measure associated therewith; creating a bin for each encoding technology used to encode the encoded signal; for each bin, removing any encoding tile having a detectability measure below a predetermined threshold; for each bin, prioritizing remaining encoding tiles; selecting an encoding tile based on the prioritization per bin, and spatially locating the selected encoding tile relative to the digital artwork. Other technology is described in this patent document.

As image source attribution techniques have become significantly sophisticated and are now becoming commonplace, there is a growing need for capabilities to anonymize images and videos. Focusing on the photo response non-uniformity noise pattern based sensor fingerprinting technique, this work evaluates the effectiveness of well-established seam carving method to defend against sensor fingerprint matching. We consider ways in which seam-carving based anonymization can be countered and propose enhancements over conventional seam carving method. Our results show that applying geometrical distortion in addition to seam carving will make counter attack very ineffective both in terms of computational complexity and accuracy.

A memory stores first video information displayed on a display screen. A processor generates embedded information varying temporally and superimposes the embedded information on an image part at least corresponding to an edge of the display screen in the first video information so as to generate second video information on which the embedded information is superimposed. An output interface outputs the second video information.

This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One implementation is directed to a printed object comprising: a white substrate or background comprising a first area; an ink mixture printed at a first plurality of spatial locations within the first area, the ink mixture printed such that the first area comprises a second plurality of spatial locations without the ink mixture, the ink mixture comprising extender white and Green 7 ink, the ink mixture comprising a volume or weight ratio of 97.5% to 99.75% white extender and 2.5%-0.25% Green 7 ink; in which the first plurality of spatial locations is arranged in a pattern conveying an encoded signal, and in which the white substrate or background and the ink mixture comprise a spectral reflectivity difference at or around 660 nm in a difference range of 8%-30%. Of course, other implementations, methods, packages, systems and apparatus are described in this patent document.

A method and an apparatus for embedding watermark information are disclosed in the present disclosure. The method trains an embedded neural network model using weight information of a target neural network model and target watermark information that is to be embedded into the target neural network model, updates the weight information of the target neural network model according to target watermark embedded data provided by the embedded neural network model, and obtains a target neural network model embedded with the target watermark information. Since the embedded neural network model includes multiple neural network layers, this method increases the complexity of the watermark embedding process, and is able to avoid the problem that watermark information of existing neural network models has poor robustness to watermarking attacks such as overwriting attacks and model compression.

Systems and methods for applying and detecting cross dependent marks incorporated into an electronic or digital image to form a watermark. The electronic or digital image may include encoded information for example a machine-readable symbol. The watermarking may include an encoding and insertion sub-process that inserts one or more marks into an image at a first point in time for form a marked image, an extraction sub-process that extracts the marks at a second point in time, and a detection sub-process 108 that determines if any modifications have been made to the marked image. The marked image may be formed by determining a first original descriptor and first original mark within the image, determining a second original descriptor and second original mark within the image, and incorporating the first original mark into the second original descriptor and incorporating the second original mark into the first original descriptor.

A vehicle computer includes a watermark memory and a watermark processor programmed to execute instructions stored in the watermark memory. The instructions executed by the watermark processor include receiving an image captured by a camera, selecting a set of random pixel locations, generating a random watermark, and embedding the random watermark into the image at the set of random pixel locations. Another vehicle computer includes a validation memory and a validation processor programmed to execute instructions stored in the validation memory. The instructions executed by the validation processor include receiving a watermarked image, determining a random watermark, detecting an embedded watermark in the received watermarked image by selecting a set of random pixels and analyzing the selected set of random pixels for the random watermark, and authenticating the watermarked image as a result of determining that the watermarked image includes the random watermark at the set of random pixel locations.

The present disclosures relates to finding or localizing machine readable indicia (e.g., a barcode or digital watermark) in imagery. One claim recites an apparatus comprising: memory for buffering blocks of image data, the image data having been captured with a camera and depicting a printed object; one or more processors programmed for: generating an edge orientation sensitive feature set from the image data; using a first trained classifier to determine whether the feature set includes data representing a barcode; and using N additional trained classifiers to determine an orientation angle associated with the barcode, wherein N comprises an integer greater than 3, and wherein the orientation angle is selected based on a probability metric. Of course, other claims and combinations are provided too.