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:
Sep. 11, 2012

Filed:

Mar. 16, 2007
Applicants:

Tetsujiro Kondo, Tokyo, JP;

Masashi Uchida, Tokyo, JP;

Takuo Morimura, Kanagawa, JP;

Daisuke Kikuchi, Tokyo, JP;

Takeshi Miyai, Kanagawa, JP;

Hideo Kasama, Tokyo, JP;

Takeshi Kunihiro, Kanagawa, JP;

Yoshiaki Nakamura, Tokyo, JP;

Hideki Mori, Kanagawa, JP;

Yasuhiko Suga, Kanagawa, JP;

Kenichiro Hosokawa, Kanagawa, JP;

Shizuo Chikaoka, Tokyo, JP;

Inventors:

Tetsujiro Kondo, Tokyo, JP;

Masashi Uchida, Tokyo, JP;

Takuo Morimura, Kanagawa, JP;

Daisuke Kikuchi, Tokyo, JP;

Takeshi Miyai, Kanagawa, JP;

Hideo Kasama, Tokyo, JP;

Takeshi Kunihiro, Kanagawa, JP;

Yoshiaki Nakamura, Tokyo, JP;

Hideki Mori, Kanagawa, JP;

Yasuhiko Suga, Kanagawa, JP;

Kenichiro Hosokawa, Kanagawa, JP;

Shizuo Chikaoka, Tokyo, JP;

Assignee:

Sony Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/01 (2006.01); H04N 11/20 (2006.01);
U.S. Cl.
CPC ...
Abstract

An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.


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