Methods and apparatuses for watermark embedding and extracting are provided. A method for watermark extracting includes obtaining a carrier object embedded with a watermark image; determining at least one encoding region that includes watermark information; determining a plurality of template lattices from the at least one encoding region, the plurality of template lattices comprising a plurality of positioning template lattices and one or more encoding template lattices; and obtaining the watermark information according to the plurality of template lattices.

In an illustrative embodiment, watermark decoding reliability is increased, for images of watermarked objects captured at close distances, by reducing influence of pixel noise (e.g., shot noise). In the same or different embodiment, watermark decoding reliability is increased, for images of watermarked objects captured from far distances, by reducing image under-sampling. A particular implementation down-samples input imagery twice—a first time by a fixed factor, preparatory to performing an FFT, and a second time by a variable factor, preparatory to submitting the image for decoding, where the variable factor is determined using results from the FFT. A number of other features and arrangements are also detailed.

Methods and apparatuses for watermark embedding and extracting are provided. A method for watermark extracting includes obtaining a carrier object embedded with a watermark image; determining at least one encoding region that includes watermark information; determining a plurality of template lattices from the at least one encoding region, the plurality of template lattices comprising a plurality of positioning template lattices and one or more encoding template lattices; and obtaining the watermark information according to the plurality of template lattices.

Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and an image signal in which the reference signal is encoded. Geometric transform candidates encompass differential scale and shear, which are useful in approximating a perspective transform. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates and measuring correlation. The geometric transform is used as an approximation of the geometric distortion of an image after digital data is encoded in it, and is used to compensate for this distortion to facilitate extracting embedded digital messages from the image. Due to the errors in the approximation, a signal confidence metric is determined and used to weight message symbol estimates extracted from the image.

An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.

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.

In one aspect, a 2D machine readable code is mimicked by a collection of graphic elements. This can involve choosing a location, within an input 2D code block, at which correlation between a first graphic element and the input 2D code block is maximized. An area around this location is then disqualified from further consideration. A second location is next chosen, within the input 2D code block but outside the disqualified area, at which correlation between a second graphic element and the input 2D code block is maximized. The process continues in this fashion, adding graphics and removing additional areas from consideration, until a threshold number of graphic elements has been placed. The elements are then assembled in their corresponding locations to yield a composite image block that provides features mimicking that of the input 2D code block, thereby enabling the composite image block to be decoded by a compliant code reader. A great variety of other signal rich art arrangements are also detailed.

A computer-implemented method for creating an encoder-decoder system for embedding information in a decorative label. The method includes defining a family of encoder functions and a family of decoder functions. Each encoder function of the family of encoder functions configured to encode information as a respective modification of a decorative label. Each decoder function of the family of decoder functions configured to decode an image of a modified decorative label into respective decoded information. The method includes applying an iterative optimization process to determine an optimized encoder-decoder pair. The optimized encoder-decoder air includes an optimized encoder function and an optimized decoder function. The optimized encoder function is selected by the iterative optimization process from the family of encoder functions and the optimized decoder function is selected by the iterative optimization process from the family of decoder functions.

Systems and methods are provided for determining a quantity of network location visitors that are likely generated or encouraged by specific offline events. A corresponding number of leads may then be attributed to and associated with those specific events. Ongoing conversion activity of those visitors may be tracked and associated with the offline events. Conversions of those visitors may be attributed entirely or partially to one or more specific offline events. The effectiveness of each offline may then be evaluated based on aggregate lead and conversion information.

Watermarking is used to track and identify digital images. One claim includes acts of: processing obtained imagery to yield local image information, the local image information being inadequate to reveal a subject depicted in said obtained imagery, using the local image information, resolving geometric distortion of the imagery, the geometric distortion comprising scale and rotation, said resolving yielding geometrically resolved imagery, and detecting the encoded signal from the geometrically resolved imagery using secret detecting information. A great variety of other features and arrangements are also detailed.