The present disclosure provide technology for encoded signal localization. One claim recites an apparatus comprising: memory for buffering image data, the image data having been captured with a camera and depicting product packaging or a product label; one or more processors programmed for: generating a spatial domain feature set representation of a portion of image data; evaluating the spatial domain feature set with a classifier to predict whether the portion of image data includes a transform domain encoded signal. Of course, other claims, and various combinations and embodiments are disclosed in this patent document.

The present disclosures relates generally to image signal processing and encoding signal within imagery.

Related are a method and system for embedding information into encoding information. The method comprises the steps of first embedding the information into an embeddable image or a virtual image using a frequency domain embedding method, and then overlaying the embeddable image or the virtual image into a printed file in need of a variable code or a fixed code using a spatial domain processing method. In this way, the information not perceived by human eyes may be embedded into the encoding information using frequency domain and spatial domain transformation, the counterfeiting difficultly is extremely large, the cost is high, and the anti-counterfeiting purpose is achieved; and furthermore, the printing cost is not increased, thereby being beneficial to wide promotion and application.

A system prints a document using a device-independent pattern ink cell that is appropriate for the print device. The system does this by identifying an object in a print job corresponding to a security element that identifies a pattern ink cell for a color parameter. The system then defines a device-independent pattern ink cell for rendering the identified object. The definition of the device-independent pattern ink cell includes at least one scaling routine for adjusting a parameter of the device-independent pattern ink cell based on a resolution of a print device that will be used for printing the document. The system then queries and receives from a print system a device resolution of the print device, executes the at least one scaling routine to transform the device-independent pattern ink cell to yield a device-dependent pattern ink cell, and generates a print using the device-dependent pattern ink cell.

A system prints a document using a device-independent pattern ink cell that is appropriate for the print device. The system does this by identifying an object in a print job corresponding to a security element that identifies a pattern ink cell for a color parameter. The system then defines a device-independent pattern ink cell for rendering the identified object. The definition of the device-independent pattern ink cell includes at least one scaling routine for adjusting a parameter of the device-independent pattern ink cell based on a resolution of a print device that will be used for printing the document. The system then queries and receives from a print system a device resolution of the print device, executes the at least one scaling routine to transform the device-independent pattern ink cell to yield a device-dependent pattern ink cell, and generates a print using the device-dependent pattern ink cell.

The present disclosures relates generally to image signal processing and encoding signal within imagery. One claim recites a method comprising: obtaining data representing captured imagery, the captured imagery depicting packaging including digital watermarking, the digital watermarking including an orientation signal that is detectable in a transform domain; generating a n-dimensional feature set of the data representing captured imagery, the n-dimensional feature set representing the captured imagery in a spatial domain, where n is an integer great than 13; using a trained classifier to predict the presence of the orientation signal in a transform domain from the feature set in the spatial domain. Of course, other claims and combinations are provided too.

Watermark data is converted to watermark coefficients, which may be embedded in an image by converting the image to a frequency domain, embedding the watermark in image coefficients corresponding to medium-frequency components, and converting the modified coefficients to the spatial domain. The watermark data is extracted from the modified image by converting the modified image to a frequency domain, extracting the watermark coefficients from the image coefficients, and determining the watermark data from the watermark coefficients. The watermark data may be truncated image data bits such as truncated least significant data bits. After extraction from the watermark, the truncated image data bits may be combined with data bits representing the original image to increase the bit depth of the image. Watermark data may include audio data portions corresponding to a video frame, reference frames temporally proximate to a video frame, high-frequency content, sensor calibration information, or other image data.

The present disclosures relates generally to image signal processing and encoding signal within imagery. One claim recites a method comprising: obtaining data representing captured imagery, the captured imagery depicting packaging including digital watermarking, the digital watermarking including an orientation signal that is detectable in a transform domain; generating a n-dimensional feature set of the data representing captured imagery, the n-dimensional feature set representing the captured imagery in a spatial domain, where n is an integer great than 13; using a trained classifier to predict the presence of the orientation signal in a transform domain from the feature set in the spatial domain. Of course, other claims and combinations are provided too.