CA2489950A1 - Corner sharpening of text and line art in a super resolution anti-aliasing image path - Google Patents

Corner sharpening of text and line art in a super resolution anti-aliasing image path Download PDF

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Publication number
CA2489950A1
CA2489950A1 CA002489950A CA2489950A CA2489950A1 CA 2489950 A1 CA2489950 A1 CA 2489950A1 CA 002489950 A CA002489950 A CA 002489950A CA 2489950 A CA2489950 A CA 2489950A CA 2489950 A1 CA2489950 A1 CA 2489950A1
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CA
Canada
Prior art keywords
corner
pixel values
data
window
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002489950A
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French (fr)
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CA2489950C (en
Inventor
Eli S. Saber
Robert P. Loce
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Xerox Corp
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Xerox Corp
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Filing date
Publication date
Application filed by Xerox Corp filed Critical Xerox Corp
Publication of CA2489950A1 publication Critical patent/CA2489950A1/en
Application granted granted Critical
Publication of CA2489950C publication Critical patent/CA2489950C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G06T5/70—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration by the use of local operators
    • G06T5/73—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/12—Indexing scheme for image data processing or generation, in general involving antialiasing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20164—Salient point detection; Corner detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30176—Document

Abstract

A method for sharpening the corners of digital image data within an anti-aliasing image path so as to overcome corner rounding when displayed or printed.
The method comprises stepping a window across the image data and comparing that windowed data to templates or performing Boolean logic and arithmetic operations on the image data. Upon determining a match or a corner detection, pixel values are substituted in the identified pixel locations to achieve a clustering of the substituted pixel values about the corner structure producing a corner-enhanced digital image.
Filtering and sampling are then performed according to an anti-alias operation to the corner-enhanced image to produce an anti-aliased corner enhanced image. The data substitution will achieve a localized clustering or "ear" of toner/ink, or in the alternative for inside corners the localized clustered absence of toner/ink.
The result of this clustering is a sharpening of the corners so that they display or print as intended by the bitmap.

Claims (22)

1. A method of corner sharpening in the display of a bitmapped digital image, comprising:
identifying pixel locations about corner structure in a digital image;
substituting pixel values in the identified pixel locations to achieve a clustering of the substituted pixel values about the corner structure producing a corner-enhanced digital image; and, filtering and sampling according to an anti-alias operation to said corner-enhanced image to produce an anti-aliased corner enhanced image.
2. The method of claim 1 wherein the step of identifying includes stepping a window across the image data and comparing the data in the window to the data in templates.
3. The method of claim 2 wherein the corner structure is an outside simple corner.
4. The method of claim 2 wherein the corner is an inside simple corner.
5. The method of claim 2 wherein the corner structure is a serif.
6. The method of claim 2 wherein the substituted pixel values is one of the group consisting of 0, 1, 128 and 255.
7. The method of claim 2 wherein the substituted pixel values have an increased grayscale value.
8. The method of claim 2 wherein the substituted pixel values have a decreased grayscale value.
9. The method of claim 1 wherein the step of identifying comprises stepping a window across the image data and applying Boolean logic and arithmetic operations to pixel values within the window.
10. The method of claim 2 wherein comparing the data in the window to the data in the templates is performed in parallel.
11. A method of corner sharpening in the display of a bitmapped digital image, comprising:
identifying pixel locations about corner structure in a digital image;
substituting pixel values in the identified pixel locations to achieve a clustering of the substituted pixel values about the corner structure producing a corner-enhanced digital image;
filtering and sampling according to an anti-alias operation to said corner-enhanced image to produce an anti-aliased corner enhanced image, where the sampling produces image data samples at a lower resolution; and, rendering the lower resolution image data samples as suitable for driving a laser printer.
12. The method of claim 11 wherein the step of identifying includes stepping a window across the image data and comparing the data in the window to the data in templates.
13. The method of claim 12 wherein the corner structure is an outside simple corner.
14. The method of claim 12 wherein the corner is an inside simple corner.
15. The method of claim 12 wherein the corner structure is a serif.
16. The method of claim 12 wherein the substituted pixel values is one of the group consisting of 0, 1, 128 and 255.
17. The method of claim 12 wherein the substituted pixel values have an increased grayscale value.
18. The method of claim 12 wherein the substituted pixel values have a decreased grayscale value.
19. The method of claim 12 wherein comparing the data in the window to the data in the templates is performed in parallel.
20. The method of claim 11 wherein the step of identifying comprises stepping a window across the image data and applying Boolean logic and arithmetic operations to pixel values within the window.
21. The method of claim 11 where the samples suitable for driving a laser printer are high addressability pixels.
22. The method of claim 11 where the samples suitable for driving a laser printer are pulse-width modulated pixels.
CA2489950A 2003-12-15 2004-12-08 Corner sharpening of text and line art in a super resolution anti-aliasing image path Expired - Fee Related CA2489950C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US10/736,822 2003-12-15
US10/736,822 US7536052B2 (en) 2003-12-15 2003-12-15 Corner sharpening of text and line art in a super resolution anti-aliasing image path

Publications (2)

Publication Number Publication Date
CA2489950A1 true CA2489950A1 (en) 2005-06-15
CA2489950C CA2489950C (en) 2011-08-02

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CA2489950A Expired - Fee Related CA2489950C (en) 2003-12-15 2004-12-08 Corner sharpening of text and line art in a super resolution anti-aliasing image path

Country Status (4)

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US (1) US7536052B2 (en)
JP (1) JP4807950B2 (en)
BR (1) BRPI0405788A (en)
CA (1) CA2489950C (en)

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US7518618B2 (en) 2005-12-23 2009-04-14 Xerox Corporation Anti-aliased tagging using look-up table edge pixel identification
US7639891B2 (en) * 2005-12-23 2009-12-29 Xerox Corporation Corner sharpening using look-up table edge pixel identification
US7755638B2 (en) * 2005-12-23 2010-07-13 Xerox Corporation Tinted edge enhancement using look-up table edge pixel identification
US7752543B2 (en) * 2006-02-17 2010-07-06 Microsoft Corporation Applying effects to a merged text path
JP4818053B2 (en) 2006-10-10 2011-11-16 株式会社東芝 High resolution device and method
US8456711B2 (en) * 2009-10-30 2013-06-04 Xerox Corporation SUSAN-based corner sharpening
US8610963B2 (en) * 2010-03-09 2013-12-17 Xerox Corporation Image corner sharpening method and system
US10614340B1 (en) * 2019-09-23 2020-04-07 Mujin, Inc. Method and computing system for object identification
CN111507902B (en) * 2020-04-15 2023-09-26 京东城市(北京)数字科技有限公司 High-resolution image acquisition method and device
US11508034B2 (en) 2021-01-25 2022-11-22 Kyocera Document Solutions Inc. White background protection in SRGAN based super resolution

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US4437122A (en) 1981-09-12 1984-03-13 Xerox Corporation Low resolution raster images
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Also Published As

Publication number Publication date
US7536052B2 (en) 2009-05-19
CA2489950C (en) 2011-08-02
BRPI0405788A (en) 2005-09-06
US20050129328A1 (en) 2005-06-16
JP2005182802A (en) 2005-07-07
JP4807950B2 (en) 2011-11-02

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