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.

Patent No.:

US 7889949 B1

PDF
Full Text
Expired
Date of Patent:
Feb. 15, 2011

Filed:

Apr. 30, 2007
Applicants:

Michael F. Cohen, Seattle, WA (US);

Matthew T. Uyttendaele, Seattle, WA (US);

Daniel Lischinski, Jerusalem, IL;

Johannes Kopf, Constance, DE;

Inventors:

Michael F. Cohen, Seattle, WA (US);

Matthew T. Uyttendaele, Seattle, WA (US);

Daniel Lischinski, Jerusalem, IL;

Johannes Kopf, Constance, DE;

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
Abstract

A 'Joint Bilateral Upsampler' uses a high-resolution input signal to guide the interpolation of a low-resolution solution set (derived from a downsampled version of the input signal) from low-to high-resolution. The resulting high-resolution solution set is then saved or applied to the original input signal to produce a high-resolution output signal. The high-resolution solution set is close to what would be produced directly from the input signal without downsampling. However, since the high-resolution solution set is constructed in part from a downsampled version of the input signal, it is computed using significantly less computational overhead and memory than a solution set computed directly from a high-resolution signal. Consequently, the Joint Bilateral Upsampler is advantageous for use in near real-time operations, in applications where user wait times are important, and in systems where computational costs and available memory are limited.


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