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:
Mar. 24, 2009

Filed:

Sep. 16, 2005
Applicants:

Yunqiang Chen, Plainsboro, NJ (US);

Hongcheng Wang, Urbana, IL (US);

Tong Fang, Morganville, NJ (US);

Jason Jenn-kwei Tyan, Princeton, NJ (US);

Inventors:

Yunqiang Chen, Plainsboro, NJ (US);

Hongcheng Wang, Urbana, IL (US);

Tong Fang, Morganville, NJ (US);

Jason Jenn-Kwei Tyan, Princeton, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/40 (2006.01); G06K 9/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method and system for improving image quality by compounding a plurality of images to mitigate the effects of image noise. The method utilizes the independency between noise components for multiple image compounding. An effective measurement is designed to regularize the independency between noise in a traditional generative model based filtering framework, thereby enabling a more robust algorithmic solution to inaccurate signal/noise modeling. The method generally comprises selecting a plurality of images, calculating the residual error on each image; calculating the noise likelihood of each image, calculating the signal likelihood of the image, performing an independence analysis to regularize an independence constraint between the residual errors of the images, and summing the signal likelihood, noise likelihood and pairwise independency to approximate the joint independency between the residual errors.


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