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. 06, 2016

Filed:

Mar. 07, 2012
Applicants:

Masaaki Matsumura, Yokosuka, JP;

Seishi Takamura, Yokosuka, JP;

Atsushi Shimizu, Yokosuka, JP;

Hirohisa Jozawa, Yokosuka, JP;

Inventors:

Masaaki Matsumura, Yokosuka, JP;

Seishi Takamura, Yokosuka, JP;

Atsushi Shimizu, Yokosuka, JP;

Hirohisa Jozawa, Yokosuka, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/117 (2014.01); H04N 19/14 (2014.01); H04N 19/82 (2014.01); G06T 5/20 (2006.01); H04N 19/176 (2014.01);
U.S. Cl.
CPC ...
H04N 19/00896 (2013.01); G06T 5/20 (2013.01); H04N 19/117 (2014.11); H04N 19/14 (2014.11); H04N 19/176 (2014.11); H04N 19/82 (2014.11);
Abstract

The computational complexity of a denoising filter is reduced while suppressing a reduction in coding efficiency. In a video encoding/decoding apparatus which uses a loop filter, a deviation degree calculating unit calculates the degree of deviation between a denoising target pixel and a surrounding pixel using a decoded image. A template shape setting unit limits a template shape so that its size is proportional to the degree of deviation relative to the maximum value of the degree of deviation in the decoded image. When noise of the target pixel is removed, weighted in accordance with the degree of similarity between a template of the target pixel and a template of each of search points in a search shape and the weighted sum of pixel values at the search points, the loop filter performs template matching using the limited template shape and removes noise of the target pixel.


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