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. 05, 2017

Filed:

Apr. 27, 2016
Applicant:

Eizo Corporation, Ishikawa, JP;

Inventors:

Masafumi Higashi, Ishikawa, JP;

Haifeng Chen, Ishikawa, JP;

Reo Aoki, Ishikawa, JP;

Hiroki Matsuzaki, Ishikawa, JP;

Tadayoshi Katagiri, Ishikawa, JP;

Assignee:

EIZO Corporation, Ishikawa, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/40 (2006.01); G06T 3/40 (2006.01); H04N 7/01 (2006.01); G06T 5/00 (2006.01); G06T 5/40 (2006.01);
U.S. Cl.
CPC ...
G06T 3/4076 (2013.01); G06T 3/4053 (2013.01); G06T 5/001 (2013.01); G06T 5/003 (2013.01); G06T 5/40 (2013.01); H04N 7/0117 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20192 (2013.01); G06T 2207/20221 (2013.01);
Abstract

An image quality enhancing apparatus which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The apparatus calculates, from the feature quantity of an image, coefficients of low-image-quality base vectors expressing a feature quantity with a linear sum and generates the image with the image quality enhanced by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, the number of base vectors with non-zero coefficients is determined, the determined number of base vectors is selected, and a solution of a coefficient matrix is calculated by assuming the coefficients of the base vectors other than the selected base vectors are zero. The amount of processes necessary for obtaining a sparse solution of a coefficient matrix can be reduced by adjusting the number of base vectors with non-zero coefficients, and a practical image quality enhancing apparatus can be realized.


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