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Systems and methods for template matching of multicolored images
| Details |
Inventors: Loce, Robert P.; Cianciosi, Michael S.; Lin, Ying-Wei;
Assignee: Xerox Corporation (Stamford, CT)
Primary Examiner: Tran; Phuoc
Assistant Examiner: Alavi; Amir
Attorney, Agent or Firm: Oliff & Berridge, PLC
Systems and methods for template matching of multicolored images provide an image conversion process that respectively views two, three or four input color planes through an input observation window. Single plane vectors are obtained that represent the color planes. The obtained single plane vectors are combined into a multi-plane vector that may be used in a look-up table for descreening or resolution enhancement, for example. Various interactions between color planes may be taken into account to provide optimum color space conversion. Additional information obtained by using the multi-plane vector allow performance of image processes with optimized accurate color values. |
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DETAILED DESCRIPTION Accordingly, when tasks such as resolution conversion, restoration, appearance tuning and descreening are performed on monochrome or color images, a filter is often applied independently to each color plane.
A filter may be characterized as an operator or device that transforms one image, i.
e.
, a binary image, into another image, i.
e.
, a grayscale image.
As a result, each color plane is treated independently.
However, the treatment of each color plane independently is often inappropriate.
In particular, the conventional approach is inconsistent with the simultaneous use, e.
g.
, viewing, of the resultant color planes.
Furthermore, in conventional methods, each template-based filter for a given color plane is usually designed without consideration for adverse plane-to-plane interactions.
Such adverse plane-to-plane interactions might occur when trying to enhance edges of black text within a cyan field.
Independent treatment of the color planes in this case can result in image artifacts, such as a white gap between the black and cyan regions.
Other template-filter applications with independent treatment can exhibit different anomalies or overall sub-optimal performance.
Further, the conventional methods to perform independent descreening also have various problems.
Specifically, conventional independent descreening does not use all the information that is available.
As a result, a generated image is not as refined as it could be if more of the available information were used.
Also, independently descreening the color planes does not enable spatial structural information to be used in subsequent color transformations.
Conventional techniques using image enhancement through template matching by independent processing the color planes results in deficiencies in the generated image.
The deficiencies may include white gaps at the border of the color planes of the image, for example.
It is known to generate color edges that overlap a small amount so that a misregistration in the printing process does not cause a white gap between the colors at one edge
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Image Analysis 
