Hewlett-packard Development Company, L.P.

Digimarc Corporation

Automatic Recognition and Control, Inc.

David M Berfanger

Alastair M Reed

Kristyn R Falkenstern

Yang Bai

John Mark Hatcher

Matthew Ryan Bonner

Wesley R Schalk

Peter G Hwang

Morgan Thomas Schramm

William Edward Hertling

Nicholas A George

Charles Chi Jia

Yifeng Wu

Jesse Otto Sutherland

Hosein Ali Razavi

Jorge Miguel Gomez Lucia

Saara Eeva Helena Kamppari

Benjamin Hoopes

Dean H Ouchida

Amanda J Gillihan

Tabor N Kelly

Example printing devices and methods of the printing devices are disclosed. Target data is received responsive to imaging the source item. The source item includes a mark indicative of rendering information. The target data is used to detect the rendering information. The target object is output based on the target data and the rendering information.

Printing target objects based on rendering data

A technique includes acquiring data representing a first image produced by electronically scanning a page against a background. The first image contains a non-uniform background content due at least in part to a variation introduced by the background being non-uniform. The technique includes extracting an image of the page from the first image, wherein the extraction includes characterizing the background content of the first image; identifying candidate pixels associated with the page based at least in part on the characterized background content; and based at least in part on the identified candidate pixels and a model for a boundary of the page, determining the boundary of the page.

Extracting a document page image from a electronically scanned image having a non-uniform background content

Example implementations relate to cross-calibration of imagers. For example, cross-calibration of imagers can include modeling a response of each of a plurality of imagers to a color sample, modeling a response of a composite the a plurality of imagers to the color sample based on the modeled response of each of the plurality of imagers to the color sample, generating generate a cross-calibration of the modeled response of each of the plurality of imagers to the modeled response of the composite of the plurality of imagers, and generating a calibration of the modeled response of the composite of the plurality of imagers to a response of a reference imager.

Cross-calibration of imagers

Example implementations relate to PRNU suppression. For example, PRNU suppression may include performing a calibration surface PRNU characterization using a scanning system, performing a document-based PRNU characterization using the scanning system, and determining a correction function for PRNU suppression for the scanning system based on the calibration surface PRNU characterization and the document-based PRNU characterization.

Photo response non-uniformity suppression

The present disclosure relate generally to image signal processing, color science and signal encoding. Signal encoding can be applied to color image data through use of a luminance contrast sensitivity function and a chrominance contrast sensitive function. Of course, other features, combinations and claims are disclosed as well.

Full-color visibility model using CSF which varies spatially with local luminance

Calibration of a target imager. Responses of the target imager and a reference imager to predetermined importance-weighted color sample data are modeled using a predetermined target and reference imaging attributes. A calibration for the target imager is determined using the modeled responses and a predetermined calibration for the reference imager.

Imager calibration via modeled responses to importance-weighted color sample data

The present disclosure relate generally to image signal processing, color science and signal encoding. Digital watermarking can be applied to color image data through use of a luminance contrast sensitivity function and a chrominance contrast sensitive function. Of course, other features, combinations and claims are disclosed as well.

Full color visibility model using CSF which varies spatially with local luminance

The present disclosure relate generally to image signal processing, color science and signal encoding. One claim recites an apparatus including: an input for obtaining color image data; memory for storing a luminance contrast sensitivity function (CSF) and a chrominance contrast sensitivity function (CSF); means for degrading data representing color image data with the CSFand the CSFto predict visibility changes attributable to encoding plural-bit information in the obtained color image data, in which the CSFvaries depending on luminance values associated with local regions of the color image data, in which said means for degrading data representing color image data yields results for different image areas within the color image data, and in which the CSFis used for degrading luminance data and the CSFis used for degrading chrominance data; and means for altering the color image data by encoding plural-bit information therein, in which signal embedding strength of the encoding within the different image areas varies based on the results. Of course, other features, combinations and claims are disclosed as well.

The present disclosure relate generally to color science and digital watermarking. A full color visibility model has been developed which has good correlation to subjective visibility tests for color patches degraded with a watermark. A relatively better correlation can be achieved with a model that applies a luminance correction to the contrast sensitivity functions (CSF). The model can be applied during the watermark embed process, using a pyramid based method, to obtain equal visibility. Better robustness and visibility can be obtained with equal visibility embed than uniform strength embed. Of course, other features, combinations and claims are disclosed as well.

A host server receives a content request in the form of a Uniform Resource Identifier (URI) from a client. The URI identifies a first content resource and describes a first service resource to be applied to a representation of the first content resource. The URI is translated into an instruction set. The host server causes execution of the instruction set to apply the first service resource to a representation of the content resource. A processed representation of the first content resource is then provided to the client in response to the request.

System and method of processing content using a uniform resource identifier

One example discloses a network system for managing a print job. The network system can comprise a printing system. The printing system can comprise a memory for storing computer executable instructions and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions can comprise a printer server to generate a print job for a printer based on a received print email message. The print job can be generated based on an email decoration in the print email message. The email decoration can include a request specifying printing parameters for the print job.

Systems and methods for managing a print job

Computer software for and a method of calculating ring-wedge data from a digital image by performing a discrete Fourier transform of the digital image. A discrete autocorrelation, discrete cosine transform, and/or Hadamard transform is also preferably performed, together with providing the results to a neural network (most preferably a fully connected, three-layer, feed-forward neural network with sigmoidal activation functions) to perform pattern recognition on the data.

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Vancouver, WA, United States of America

David M Berfanger