Hewlett-packard Development Company, L.p.

Other

Purdue Research Foundation

Xerox Corporation

Mark Q Shaw

Jan Philip Allebach

Amy Ruth Reibman

Chuohao Tang

Terry M Nelson

Sean Michael Collison

Paul L Jeran

Jay Stephen Gondek

Zhenhua Hu

Jeffrey H Luke

Gabriel Scott McDaniel

Scott K Hymas

Richard Eric Maggard

Renee Jeanette Jessome

Todd J Harris

Yousun Bang

David Hatton

Yi Yang

Runzhe Zhang

Edul N Dalal

Michael E Farrell

David C Robinson

Jeffrey M DiCarlo

Gaurav Sharma

Dennis A Abramsohn

Thyagarajan Balasubramanian

Sean Daniel Fitzgerald

Timothy P Blair

Anthony Peter Holden

Peter A Torpey

Steve A Jacob

Bradley R Larson

Darrel D Cherry

D Rene Rasmussen

Shane R Konsella

George Henry Kerby

Edward John Delp

Cooper G Urie

Peter Bauer

Miheer M Bhachech

Kenneth Scott Line

Kimin Kang

Anton Wiranata

Yafei Mao

Lixia Li

Kathryn Janet Ferguson

Wan-Eih Huang

David Allan Corbin

Minki Cho

Robin P Yerenson

Kristofer D Provencio

Ki-Youn Lee

Chin-Ning Chen

Yufang Sun

Paul Jeran

Hae-Kee Lee

Jan P Allebach

According to examples, an apparatus may include a processor and a memory on which are stored computer-readable instructions that, when executed by the processor, may cause the processor to access a master image to be printed and receive a scanned image corresponding to the master image. The processor may identify a defect in a scanned image region of interest (ROI) based on the master image. A type of the scanned image ROI may include a raster ROI, a symbol ROI, a background ROI, and/or a color vector ROI, and the identified defect may be associated with the type of the scanned image ROI. The processor may determine a severity of the identified defect of the scanned image and may output the determined severity.

Image region of interest defect detection

Example implementations relate to audio samples to detect device anomalies. For example, computing device, comprising: a processing resource and a non-transitory computer readable medium storing instructions executable by the processing resource to: generate a matrix of audio information for a plurality of audio samples of a device, select audio information from one of the plurality of audio samples, generate a plurality of principal components for the selected audio information utilizing a principal component expansion, select a principal component from the plurality of principal components based on a quantity of variance, and detect an anomaly of the device based on a comparison between a real time audio sample of the device and the selected principal component.

Audio samples to detect device anomalies

In some examples, an imaging device can include a processing resource and a memory resource storing instructions to cause the processing resource to perform a feature extraction process to extract a gamut-based feature included in a plurality of pixels of a scanned image to determine whether the scanned image includes a particular marking, apply a classification model to the scanned image, and optimize the scanned image based on the classification of the scanned image.

Feature extractions to optimize scanned images

An example method comprises identifying a plurality of supply levels corresponding to a set of print supplies of a print device. The example method further comprises coordinating depletion of the set of print supplies by selecting between black print and process black print for a print job of the print device based on the plurality of supply levels.

Selecting between black print and process black print

An example method comprises setting a mixture of a plurality of print supplies of a print device to use for a process black print based on a plurality of supply levels corresponding to the plurality of print supplies. The example method further comprises initiating execution of the process black print of a print job by the print device using the set mixture of the plurality of print supply as overlapping colorant with the black print supply of the print device.

Setting print supplies for process black print based on supply levels

In some examples, a device includes a printing device to generate an image on a substrate from a digital image, and a processor to: receive a scanned image of the image on the substrate, identify a plurality of image portions of the scanned image, identify horizontal color changes across a horizontal portion of the plurality of image portions, identify vertical color changes across a vertical portion of the plurality of image portions, compare the horizontal color changes and vertical color changes to corresponding horizontal color changes and corresponding vertical color changes of the digital image, and measure a presence of color plane misregistration, and the color, direction and magnitude of misregistration based on the comparison.

Color plane misregistration determinations

In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value.

Detecting streaks in printed documents using blocks

Examples of methods are described herein. In some examples, a method includes calculating a first cost function measure based on band defects in an image. In some examples, the method also includes calculating a second cost function measure based on the band defects and a synthetic band. In some examples, the method further includes detecting a missing band based on a comparison of the first cost function measure and the second cost function measure.

Missing band detection

According to examples, an apparatus may include a processor and a non-transitory computer readable medium that the processor may execute to determine whether a token is to be printed printed onto the medium, following printing onto the medium in a printing system, cause a scan bar in a media feed path of the printing system to capture an image of the printed medium. The processor may also determine, from the captured image of the printed medium, whether the token was properly printed onto the printed medium and, based on a determination that the token was not properly printed onto the printed medium, output an indication and/or an instruction corresponding to the token being improperly printed.

Captured image based validation of printed tokens

A video coder includes a processing resource and a non-transitory storage device containing instructions executable by the processing resource to compute a weighted &#x394; frame based on a saliency map and a &#x394; frame. The saliency map is to indicate the relative importance of each pixel in a current frame based on its perceptual significance. The &#x394; frame is to include differences between corresponding pixels in a current frame and a motion predicted frame.

Video coding using a saliency map

A user device constructs a custom color table for an imaging device and transmits the custom color table to a computing device. The computing device digitally signs the custom color table constructed at the user device. The digitally signed custom color table is deployed to the imaging device. The imaging device processes an image using the using the digitally signed custom color table.

Deployment of digitally signed custom color table to imaging device

In some examples, a print cartridge includes a memory device comprising quantized coefficients derived from a lossy compression, at a selected step size, of a difference color table including a plurality of difference nodes in which each difference node represents a difference value that is a difference of a value of a node of a color table and a value of a corresponding node of a reference table, the quantized coefficients useable to produce a reconstructed difference color table including a first set of difference nodes each representing a difference value that is within an error threshold at the selected step size, and a second set of difference nodes each representing a difference value that is outside an error threshold at the selected step size. The memory device further comprises corrective information to correct the second set of difference nodes of the reconstructed difference color table.

Color table compression

In some examples, a component for a printing device includes a memory device comprising a plurality of corrective data to produce a corresponding plurality of color tables each customized for a respective media type of a plurality of media types, wherein a respective corrective data of the plurality of corrective data corresponds to nodes of a reference color table for the printing device that is able to accept the plurality of media types for printing. The respective corrective data includes a plurality of residual values to transform the nodes of the reference color table to a customized color table for use with a selected media type of the plurality of media types.

Component comprising a memory device including corrective data

A memory device includes a compressed color table and corrective information. The compressed color table includes a first set of nodes of the color table compressed with a lossy compression at a selected compression ratio. The first set of nodes include a color difference within an error threshold at the selected compression ratio. Corrective information is included for a second set of nodes of the color table. The second set of nodes have a color difference outside the error threshold.

In some examples, a supply component for a printing device includes a memory device comprising corrective data to produce a customized color table for a first color gamut, wherein the corrective data corresponds to nodes of a reference color table for the printing device that is able to employ a plurality of color gamuts for printing. The corrective data comprises a plurality of residual values to transform the nodes of the reference color table to the customized color table. The corrective data is accessible by the printing device to transform the reference color table to the customized color table used for printing to a media using the first color gamut.

Printing device supply component

Growing community of inventors

Meridian, ID, United States of America

Mark Q Shaw