Abstract: A first number of color patches are printed with a target printing system to obtain a sparse color gamut characterization. A second number of color patches are printed with a reference printing system to obtain a reference color gamut characterization. The second number is greater than the first number. A dense color gamut characterization is generated with a transformation of the reference color gamut characterization to the sparse color gamut characterization. A color management resource can be generated for the target printing system from the dense color gamut characterization.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure relate generally to image signal processing, color science and signal encoding.

Abstract: The present disclosure relate generally to image signal processing, color science and signal encoding.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Apparatuses, systems, and methods to control display of content between a client device and a display system are provided herein. The apparatus includes a client engine, a resource engine, a display engine, and a control unit. The client engine connected to a client device to receive a display request therefrom. The resource engine is connected to a resource broker to transmit a content request to the resource broker, the content request including parameters corresponding to the content resource and receive a representation of content from the content resource associated with the resource broker. The display engine is connected to the display system to transmit a display instruction, including the representation of the content to the display system. The control unit is connected to the client engine, the resource engine, and the display engine to compose the content request and the display instruction.