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Gamut selection in multi-engine systems

  • US 7,660,460 B2
  • Filed: 11/15/2005
  • Issued: 02/09/2010
  • Est. Priority Date: 11/15/2005
  • Status: Expired due to Fees
First Claim
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1. A method for preparing to produce a multi-page document in a multi-engine system, the method comprising:

  • identifying objects within the document;

    identifying, by at least one component of the multi-engine system, characteristics of the identified objects, wherein identifying characteristics of the identified objects comprises identifying respective objects to be one of a graphic object, a pictorial object, a normal text or line object and a large text or line object;

    selecting a respective target gamut for processing each respective identified object based upon at least the respective identified characteristics of the respective identified object, wherein selecting a respective target gamut comprises;

    determining, for each identified large text or line object, pictorial object and/or graphic object, a similarity to other identified large text or line objects, pictorial objects and/or graphic objects in the document, thereby associating large text or line objects, pictorial objects and/or graphic objects in the document with groups of similar large text or line objects, pictorial objects and/or graphic objects,selecting an intersection of a respective plurality of gamuts, associated with the plurality of engines as a respective target gamut for respective groups of similar large text or line objects, pictorial objects and/or graphic objects having a group characteristic that meets a selected criteria; and

    selecting a blended combination of a gamut of a selected individual engine and an intersection of a respective plurality of gamuts associated with the plurality of engines as a respective target gamut for a respective group of similar large text or line objects, pictorial objects and/or graphic objects having a group characteristic that does not meet the selected criteria;

    wherein determining, for each identified large text or line object, pictorial object and/or graphic object, a similarity to other identified large text or line objects, pictorial objects and/or graphic objects in the document comprises at least one of;

    identifying clusters of large text or line objects and/or graphic objects and sub-objects that have a same or nearly a same uniform color; and

    identifying clusters of large text or line objects, pictorial objects and/or graphic objects and sub-objects that have the same or nearly the same combination or collection of colors.

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