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US5581667A
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Electronic trapping system for digitized text and images
Assignee: Xerox Corp
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Filing: 1994-12-23
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Granted: 1996-12-03
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Expires: 2014-12-23
Abstract
Abstract A system for digitally trapping color images on a pixel-by-pixel is employed, whereby for each cyan, yellow, magenta and black color separation, an object-oriented trapping process is carried out. After each object is categorized, the original image is separated into a first copy and a second copy. Edge blurring is performed on the edges of the first copy of the original image; masking of a border region is completed on the second copy of the original image according to a laplacian filter, a difference recursive filter or other method. A merged image is created by combining the blurred edge first copy of the image with the mask bordered second copy of the original image; the mask is thereafter removed from the merged image.
Inventors
- 👤 Steven J. Bloomberg
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:37
CPC Classifications
H; H04; H04N; H04N1/00; H04N1/46; H04N1/56; H04N1/58; G; G06; G06K; G06K15/00; G06K15/02; G06K2215/00; G06K2215/0082; G06K2215/0094
Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
104 words
A method for digitally trapping color images on a pixel-by-pixel basis independently on a set of color separations, each separation trapping process comprising: categorizing an original image according to a set of object classes; separating the original image into a first copy and a second copy; blurring a first set of edges of the first copy of the original image; masking a border region of the second copy of the original image; creating a merged image by combining the blurred edge first copy of the image with the mask bordered second copy of the original image; and removing the mask from the merged image.
Claim 2
Independent Claim
104 words
A method for digitally trapping color images on a pixel-by-pixel basis independently on a set of color separations, each separation trapping process comprising: categorizing an original image according to a set of object classes; separating the original image into a first copy and a second copy; blurring a first set of edges of the first copy of the original image; masking a border region of the second copy of the original image; creating a merged image by combining the blurred edge first copy of the image with the mask bordered second copy of the original image; and removing the mask from the merged image.
Claim 3
Dependent Claim
41 words
The method of claim 1, wherein the step of categorizing an original image according to a set of object classes includes selecting the object class of the original image from among a text object, a tint object or a pictorial object.
Claim 4
Dependent Claim
28 words
The method of claim 1, wherein the step of categorizing an original image according to a set of object classes includes tagging the object with a classification identification.
Claim 5
Dependent Claim
36 words
The method of claim 1, wherein the step of masking a border region of the second copy of the original image includes processing the first set of edges of the first copy with a laplacian filter.
Claim 6
Dependent Claim
37 words
The method of claim 1, wherein the step of masking a border region of the second copy of the original image includes processing the first set of edges of the first copy with a difference recursive filter.
Claim 7
Dependent Claim
69 words
The method of claim 1, wherein the step of blurring a first set of edges of the first copy of the original image includes: profiling each first set of edges of the first copy of the original image as a high edge or a low edge; and applying a set of trapping rules to select a group of the first set of edges of the first copy for dilation.
Claim 8
Dependent Claim
69 words
The method of claim 1, wherein the step of blurring a first set of edges of the first copy of the original image includes: profiling each first set of edges of the first copy of the original image as a high edge or a low edge; and applying a set of trapping rules to select a group of the first set of edges of the first copy for erosion.
Claim 9
Dependent Claim
93 words
The method of claim 1, wherein the step of blurring a first set of edges of the first copy of the original image includes: profiling each first set of edges of the first copy of the original image as a high edge or a low edge; applying a set of trapping rules to select a first group of the first set of edges of the first copy for erosion; and applying a set of trapping rules to select a second group of the first set of edges of the first copy for dilation.
Claim 10
Dependent Claim
61 words
The method of claim 1, wherein the step of blurring a first set of edges of the first copy of the original image includes applying a 3 by 3 binary code matrix having a first row code of "0, 1, 0"; a second row code of 2: "1,0, 1 "; and a third row code of "0, 1,0" as blurring filter.
References Cited (Backward Citations)
US5295236A
Cited
US5313570A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1999-12-03 | 2000-06-03 | 2000-12-03 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-12-03 | 2004-06-03 | 2004-12-03 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-12-03 | 2008-06-03 | 2008-12-03 | $7700.00 | Window Closed / Lapsed |