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:
Nov. 21, 2017

Filed:

Apr. 27, 2016
Applicant:

Eizo Corporation, Ishikawa, JP;

Inventors:

Reo Aoki, Ishikawa, JP;

Haifeng Chen, Ishikawa, JP;

Masafumi Higashi, 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 5/20 (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 5/005 (2013.01); G06T 5/20 (2013.01); G06T 5/40 (2013.01); H04N 7/0117 (2013.01); G06T 2207/20081 (2013.01);
Abstract

An image quality enhancing apparatus, an image display apparatus, an image quality enhancing method, and a computer readable storage medium which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The image quality enhancing 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 enhanced image quality by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, T base vectors highly influential on the feature quantity are selected from among a plurality of base vectors and an analytic solution making Lnorm of a coefficient matrix α as small as possible is calculated. A sparse solution of the coefficients can be obtained without using the iteration method and a practical image quality enhancing apparatus can be realized.


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