The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 29, 2015

Filed:

Mar. 14, 2013
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Andreas Klaus, Graz, AT;

Konrad Karner, Graz, AT;

Martin Ponticelli, Graz, AT;

Christian Neuner, Graz, AT;

Helfried Tschemmernegg, Eibiswald, AT;

Stefan Bernogger, Graz, AT;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G09G 5/00 (2006.01); G09G 5/02 (2006.01); G06T 15/00 (2011.01); G06T 3/40 (2006.01); G06T 5/40 (2006.01);
U.S. Cl.
CPC ...
G09G 5/02 (2013.01); G06T 5/40 (2013.01); G06T 15/005 (2013.01);
Abstract

Many imaging scenarios involve an achromatic image (e.g., a panchromatic image or a near-infrared image) and one or more concurrently captured monochromatic images (e.g., RGB images captured through a Bayer filter array), and the compositing of these images through de-mosaicing and/or pan-sharpening to generate a high-resolution color image. However, in many such scenarios, the monochromatic images may exhibit distortion of edge geometry, resulting in artifacts and/or color distortions near visual edges of the composite image. However, such distortions may be absent from the achromatic image, and edge geometry may be represented as an intensity gradient among respective neighborhoods of achromatic pixels. Presented herein are techniques for reducing such distortions in monochromatic images through iterative adjustment of monochromatic pixel intensity to reflect the gradients of the neighborhoods of the corresponding achromatic pixels. Convergence of such adjustments produces composite images exhibiting accurately reconstructed edge geometry.


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