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US5822467A Expired / Lapsed US ⏱️ 0.0 years remaining

Sharpening filter for images with automatic adaptation to image type

Assignee: HP Inc
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Filing: 1996-12-27
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Granted: 1998-10-13
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Expires: 2016-12-27
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Abstract

Abstract A method of filtering images with a filter that is dependent on image type. For binary images, a fixed Laplacian filter is used for all pixels. For non-binary images, an automatic level-sensitive Laplacian filter is used. For non-binary images, Laplacian filter coefficients and normalization divisors are made a function of intensity on a pixel by pixel basis. Pixels indicating a high intensity may be greatly changed by neighboring pixels. Pixels indicating a low intensity receive relatively little or no filtering. In a specific example embodiment, the intensity range is divided to bands, with a different filter for each band. The resulting images are visually sharpened (edge enhanced) with very little impact in darker areas of the image.

Inventors

  • 👤 Patricia D. Lopez
  • 👤 Hal Hansen
  • 👤 Jeffrey P. Lee

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-09 18:58
CPC Classifications
H; H04; H04N; H04N1/00; H04N1/40; H04N1/409; H04N1/4092

Claims Analysis

Total Claims: 3
Claim 1
Independent Claim 174 words
A method of spatially filtering an image, the image comprising an array of pixels, each pixel having a numerical value that is a measure of light intensity, the method comprising the following steps: (a) determining an image type; (b) applying a fixed spatial filter to the numerical values of the array of pixels when the image type is binary; and (c) applying a variable spatial filter to the numerical values of the array of pixels, when the image is other than binary, as follows: (c1) defining at least a first threshold range and a second threshold range; (c2) reading the numerical value of a pixel; (c3) applying the variable spatial filter, with a first central coefficient, to the numerical value of the pixel, when the numerical value is within the first threshold range; (c4) applying the variable spatial filter, with a second central coefficient, to the numerical value of the pixel, when the numerical value is within the second threshold range; and (c5) repeating steps (c2) through (c4) for all pixels in the array.
Claim 2
Independent Claim 174 words
A method of spatially filtering an image, the image comprising an array of pixels, each pixel having a numerical value that is a measure of light intensity, the method comprising the following steps: (a) determining an image type; (b) applying a fixed spatial filter to the numerical values of the array of pixels when the image type is binary; and (c) applying a variable spatial filter to the numerical values of the array of pixels, when the image is other than binary, as follows: (c1) defining at least a first threshold range and a second threshold range; (c2) reading the numerical value of a pixel; (c3) applying the variable spatial filter, with a first central coefficient, to the numerical value of the pixel, when the numerical value is within the first threshold range; (c4) applying the variable spatial filter, with a second central coefficient, to the numerical value of the pixel, when the numerical value is within the second threshold range; and (c5) repeating steps (c2) through (c4) for all pixels in the array.
Claim 3
Dependent Claim 19 words
The method of claim 1 where the fixed spatial filter and the variable spatial filter are both Laplacian filters.

References Cited (Backward Citations)

US5485534A Cited
US5245445A Cited
US5381490A Cited
US5497249A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2001-10-12 2002-04-13 2002-10-13 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2005-10-12 2006-04-13 2006-10-13 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2009-10-12 2010-04-13 2010-10-13 $7700.00 Window Closed / Lapsed

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