Xerox Corporation

David E Rumph

Charles Michael Hains

Eric S Nickell

Robert Roy Buckley

Robert M Coleman

Terry C Wells

L Dale Green

Michael E Farrell

Michael F Plass

Russell Roger Atkinson

Mark T Corl

James K Kenealy

George L Eldridge

Farzin Blurfrushan

William Samuel Jacobs

Zhigang Fan

Reiner Eschbach

David C Robinson

Peter A Crean

Jon S McElvain

Mark A Smith

Ronald E Rider

Margaret Motamed

Thomas C Rich

Vincent C Lung

Matthew Tucker

Javier A Morales

Dennis Lee Venable

William A Fuss

Michael Robert Campanelli

Guo-Yau Lin

Roger Lee Triplett

Michael Branciforte

James E Bollman

Raymond J Clark

Phillip J Emmett

Norman W Zeck

James Michael Sanchez

Thomas Robson

Raju Seetharam

William E Nelson

Daniel Fleysher

Munir G Salfity

Sang-Chul Kang

Patrick Harrington

Nicholas Paul Osadciw

Stephen Robert Dashiell

Susan Evans

John P Monahan

Eric J Thibodeau

Jared Boone

Stephen M Strasen

Elizabeth Espinosa-Pardo

Robert E Lyons

A system and method adaptively lossy compresses image data by receiving a pixel of image data and meta data indicating a type of object that generated the pixel of image data, the pixel of image data includes a first byte having most significant bits of image data and a second byte having least significant bits of image data; electronically determining if the meta data associated with the pixel of image data is associated with a noisy image or indicates that the pixel of image data was generated by a specific type of object; electronically modifying the pixel of image data, when it is determined that the meta data is associated with the pixel of image data is associated with a noisy image or indicates that the pixel of image data was generated by a specific type of object, by setting a predetermined number of low bits of the pixel of image data to zero.

System and method for adaptively compressing data having noisy images using lossless compression

A system and method for automatic selection of at least one spot color to be processed by a digital image press includes identifying process colorants to determine principal and extended gamuts thereof. Spot color recipes of the principal and extended gamuts are retrieved from a spot color library, along with a set of attributes corresponding to use of colorants by the digital image press. For each spot color recipe, a combined attribute score is calculated relating to the principal gamut and the extended gamut, spot color recipe of the extended gamut or principal gamut is then identified for use based upon which has the higher combined attribute score. The spot color library is then updated in accordance with the identified recipe for production of each spot color. Print jobs are then output with the appropriate spot color recipe automatically selected.

Intelligent spot color recipe picker for digital front end

A system and method are disclosed for an image processing system including a threaded scheduler providing compact and efficient dataflow as a pipeline management and data flow layer.

Image processing system and method employing a threaded scheduler

Systems and methods for extended gamut printing. A print job is received into a print engine having a processor and a limited number of receptacles for colorant extension attachments that can be used in addition to a standard color gamut. The processor analyzes a page of the print job for the color gamut and for the color gamut with each possible gamut extension colorant. The processor calculates gamut distances for the color of each pixel outside of the color gamut for every gamut colorant extension. The gamut distances are the distances from the color of the pixel to a boundary of the color gamut. The processor calculates a sum of the gamut distances. For each pixel on the page outside of the color gamut, the processor selects an extension colorant attachment to attach to the limited physical receptacles based on having the greatest sum of the gamut distances.

Spot color preflight for extended gamut printing

Methods and systems for color conversion used in image-processing. In one approach, a caching strategy can be employed rather than a direct computation or a precomputed table. To improve the hit frequency and reduce storage requirements, a hash calculation in addition to comparison operations can be processed as a 'near match' rather than an exact match. In another approach, 'fuzzy match' caching can be implemented to reach the proper vicinity in the n-dimensional space, and then interpolation (or extrapolation) can refine the result.

Fuzzy match interpolated caching utilized in image-processsing applications

Systems and methods are described that facilitate identifying objects in a document (e.g., a PDF document) for automatic image enhancement (AIE). A PDF document is 'chunked' or segmented into chunks, and boundaries between chunks are identified as real or imaginary. Chunks sharing imaginary boundaries are combined, while real boundaries are retained, to generate 'de-chunked' objects. These objects are then classified, and an AIE application is executed on objects meeting pre-specified classification criteria. In this manner, objects of r which AIE is not desired are not subjected to the AIE application, thereby saving time and processing resources associated with enhancing the document.

PDF de-chunking and object classification

A method and system for determining chromatic content of a page of an electronic document. Object level color analysis is performed on a page of the electronic document to determine whether the page is chromatic, achromatic or has highlight color, based on the object level color analysis. The page is then classified as chromatic, achromatic or highlight color, based on the results of the determination.

User configured page chromaticity determination and splitting method

Methods and systems of assessing color gamut requirements for a print job and a printing device are disclosed. A print job including one or more input color spaces may be received. A computing device may produce a color transformation for each input color space using at least a color gamut error profile. The computing device may further produce result information based on the one or more color transformations. Result information may be provided to a user.

Automated methods and systems for assessing and summarizing gamut requirements

A raster image target tracking method, the raster image being a binary raster image or a targeted contone raster image, may include determining target information that corresponds to a target device for the raster image, saving the target information in a memory, comprising the raster image target device to a processing device by which the document is to be processed, and providing a warning message when the document target device does not correspond to the processing device. Also, a compound document analysis and target tracking method may include providing a compound document, analyzing each object of the compound document to determine target information, saving the target information in a memory, comparing the target devices of the respective objects to each other, and providing a warning message to a user when the target devices of the respective objects do not correspond to each other.

Document targeting systems and methods

A system/method of color match assessment for electronic documents includes receiving digital data defining a composite electronic document including a raster image object having an edge and a color graphics object bordering the edge of the raster image object. The pixel color values defining the edge of the raster image object are processed to estimate a local color variance of the pixel color values. The local color variance is used to determine if the edge can be color matched to the bordering color graphics object. If the edge can be color matched, a match color for the edge is derived. The match color is associated with the digital data defining the electronic document so that a downstream object color match system can use the match color as needed, e.g., to adjust the color of the bordering color graphics object to ensure a match with the edge of the raster image object when the electronic document is printed using a xerographic printing process.

Determining the color match between image data and graphics objects

A method of identifying color mismatches for objects having different rendering intents within a print job prior to printing, includes identifying all objects within the print job, each object's type, rendering intent and all source colors associated with it; for each object in the print job, transforming each object's source colors using a prototypical color transformation; identifying sets of transformed objects having source colors that match within a first tolerance; transforming all transformed objects using a target printer's color space; identifying any of the transformed objects in each set that do not match within a second tolerance level; identifying any object types within the group of mismatched objects having at least two different rendering intents; selecting one of the rendering intents in accordance with a predetermined criterion; and assigning the selected rendering intent to at least one other instance of that object type.

Method for prepress-time color match verification and correction

A method for remote proofing a digital press by performing the color rendering of a specific DFE and printer, including taking into account job and printer settings, while maintaining vector objects is described. In one exemplary embodiment, the method color renders a file to a PDF/X-1 format to enable a portable proof-ready file, independent of the target print system. The PDF/X-1a's output intent tag identifies the intended print condition within the file. The rendered PDF/X-1file can be sent to any device that supports the PDF/X standard and automatically convert colors from the output intent color space to the proofer color space for an accurate hard copy proof. This functionality automates and streamlines the proofing task of the end user because there is no need to find and load the correct ICC profile on the proofing system.

Method for remote proofing of DFE color architecture

This invention is a method of producing a set of TRC's for a color printer's secondary halftone screens that is correlated with the printer's primary halftone screens. The method makes use of the printer/screen characteristic data that is normally gathered during screen calibration. However, instead of progressing from the data to a normal calibration for the secondary screens, the method goes backward through the data starting with the finished primary screen TRC's. The method insures that for every primary screen density, the closest possible secondary screen density is used when the same digital value is specified.

Correlated secondary TRC calibration method

A computer-implemented method of matching color elements for objects having different source color definitions within a print job prior to printing, includes identifying all source colors to be printed within the print job and object type associated with each instance of a source color; identifying any source colors having at least two different source color definitions; for each source color having at least two different source color definitions, selecting one of the source color definitions in accordance with a predetermined criterion; and assigning the selected source color definition to at least one other instance of the source color for that object type. The predetermined criterion may include for each source color having at least two different source color definitions for the same object type, assigning the selected source color definition to all other instances of the source color for that object type.

The invention generates a page description language compliant data stream, that has been pre-designed and pre-processed to create unique and predictable page element ordering, overlay layout, and for splitting large page elements into multiple independent elements. In this way, multiple processors can be used to render the document without merging the data stream.

Systems and methods for rapid processing of raster intensive color documents

Growing community of inventors

Pasadena, CA, United States of America

David E Rumph