Embodiments of the present disclosure disclose a method and apparatus for adding a digital watermark in a video. A specific embodiment of the method includes: performing target detection on each frame of image in a target video; determining, based on a target detection result, whether the target video includes at least one carrier, the carrier referring to an object for adding a digital watermark in the each frame of image; and determining a target carrier from the at least one carrier, and adding the digital watermark to an area of the target carrier in the each frame of image including the target carrier in the target video, in response to determining the target video including the at least one carrier.

Optical code signal components are generated and then transformed into signal bearing art that conveys machine readable data. The components of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator transforms tiles of an optical code or image embedded with the optical code into signal-bearing art using stipple, Voronoi, Delaunay or other graphic drawing methods so as to retain prioritized components of the optical code. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.

Various image processing arrangements are detailed for detecting mis-marking of product packaging artwork with two conflicting steganographically-encoded product identifiers. Some embodiments concern detection in a pre-press or test-print quality assurance stage. Others concern detection post-press. All help serve to assure accurate product identification by point of sale scanners. A great number of other features and arrangements are also detailed.

A system may include an imaging system coupled to a host subsystem. The imaging system may include an image sensor that provides image frames to the host subsystem. The image sensor may include a data authentication subsystem that appends corresponding authentication data to each of the image frames. Each set of authentication data may be generated based on a subset of the image frame data (e.g., corresponding to image data generated by pixels defined by a sparse region-of-interest within the pixel array). The host subsystem may securely provide region-of-interest parameters to the image sensor to update the sparse region-of-interest in an adaptive manner to account for factors such as computational load of the host subsystem and authentication coverage for the entire pixel array.

The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a first response is provided upon signal decoding but no icon detection within first captured image data, and a second response is provided upon signal decoding and icon detection within the first captured image data. Other aspects, combinations and implementations are described as well.

A camera captures video imagery depicting a digitally-watermarked object. A reference signal in the watermark is used to discern the pose of the object relative to the camera, and this pose is used in affine-transforming and positioning a graphic on the imagery as an augmented reality overlay. Feature points are also discerned from the captured imagery, or recalled from a database indexed by the watermark. As the camera moves relative to the object, the augmented reality overlay tracks the changing object depiction, using these feature points. When feature point-based tracking fails, the watermark is again processed to determine pose, and the overlay presentation is updated accordingly. In another arrangement, feature points are extracted from images of supermarket objects captured by multiple users, and are compiled in a database in association with watermark data identifying the objectsserving as a crowd-sourced repository of feature point data. A great number of other features and arrangements are also detailed.

Systems and methods for improving target object visibility in captured images can include an imaging sensor for mounting on an aircraft at a fixed position and orientation. A predetermined portion of the aircraft can appear as a region of interest (ROI) at a predefined location across images captured by the imaging sensor. A processor can receive a first image signal captured by the imaging sensor and corresponding to a first image that includes the ROI. The processor can determine a first image intensity range of the ROI in the first image and gain and offset values for modifying the first image or a subsequent image. The processor can cause a second image signal, received from the imaging sensor, to be amplified according to the gain and offset values and cause the region of interest in a second image to have a second image intensity range different from the first image intensity range.

The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a first response is provided upon signal decoding but no icon detection within first captured image data, and a second response is provided upon signal decoding and icon detection within the first captured image data. Other aspects, combinations and implementations are described as well.

The geometric pose of a patch of watermark data is estimated based on the position of a similar, but non-identical, patch of information within a data structure. The information in the data structure corresponds to a tiled array of calibration patterns that is sampled along at least three non-parallel paths. In a particular embodiment, the calibration patterns are sampled so that edges are globally-curved, yet locally-flat. Use of such information in the data structure enables enhanced pose estimation, e.g., speeding up operation, enabling pose estimation from smaller patches of watermark signals, and/or enabling pose estimation from weaker watermark signals. A great variety of other features and arrangements are also detailed.

An image processing method for reading additional information from image data obtained by an imaging device capturing an image of a printed product with the additional information embedded therein as an electronic watermark includes acquiring, a plurality of times, distance information about a distance between the imaging device and the printed product, and causing a display to display a predetermined object in such a manner that a display form of the predetermined object changes according to the acquired distance information.