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:
Apr. 23, 2019

Filed:

Sep. 15, 2017
Applicant:

Olympus Corporation, Tokyo, JP;

Inventors:

Hiroki Maruyama, Hino, JP;

Manabu Ichikawa, Hachioji, JP;

Assignee:

OLYMPUS CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 5/357 (2011.01); H04N 1/409 (2006.01); H04N 5/378 (2011.01); G06T 5/00 (2006.01); H04N 5/367 (2011.01); H04N 5/217 (2011.01);
U.S. Cl.
CPC ...
H04N 5/357 (2013.01); G06T 5/002 (2013.01); H04N 1/409 (2013.01); H04N 5/217 (2013.01); H04N 5/3575 (2013.01); H04N 5/367 (2013.01); H04N 5/378 (2013.01); G06T 2207/10004 (2013.01);
Abstract

Provided is an image processing apparatus for correcting blinking defect noise contained in image data generated by an image sensor. The image sensor includes a pixels arranged two-dimensionally and reading circuits configured to read a pixel value. The image processing apparatus includes: an information acquisition unit configured to acquire noise information that is defined by associating positional information of the reading circuits or positional information of each of the pixels with feature data related to the blinking defect noise caused by the reading circuits; an estimation unit configured to estimate a random noise amount in a pixel of interest based on the feature data and a random noise model for estimating the random noise amount in the pixel of interest; and a correction unit configured to correct a pixel value of the pixel of interest based on the random noise amount estimated by the estimation unit.


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