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. 16, 2014

Filed:

Sep. 26, 2008
Applicants:

Sandeep Kanumuri, Sunnyvale, CA (US);

Onur G. Guleryuz, San Francisco, CA (US);

Akira Fujibayashi, Kanagawa, JP;

M. Reha Civanlar, Palo Alto, CA (US);

Inventors:

Sandeep Kanumuri, Sunnyvale, CA (US);

Onur G. Guleryuz, San Francisco, CA (US);

Akira Fujibayashi, Kanagawa, JP;

M. Reha Civanlar, Palo Alto, CA (US);

Assignee:

NTT DoCoMo, Inc., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 1/66 (2006.01); H04N 19/132 (2014.01); H04N 19/60 (2014.01); H04N 19/14 (2014.01); G06T 5/10 (2006.01); G06T 5/00 (2006.01); H04N 19/86 (2014.01); G06F 17/14 (2006.01); H04N 19/182 (2014.01); H04N 19/103 (2014.01); H04N 19/176 (2014.01); H04N 19/48 (2014.01); H04N 19/122 (2014.01); H04N 19/59 (2014.01); H04N 19/18 (2014.01); H04N 11/02 (2006.01);
U.S. Cl.
CPC ...
G06F 17/147 (2013.01); H04N 19/00127 (2013.01); H04N 19/00848 (2013.01); H04N 19/00157 (2013.01); G06T 5/10 (2013.01); G06T 5/004 (2013.01); H04N 19/00909 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); H04N 19/00303 (2013.01); H04N 19/00018 (2013.01); H04N 19/00278 (2013.01); H04N 19/00563 (2013.01); H04N 19/00084 (2013.01); H04N 19/00757 (2013.01); G06T 2207/20052 (2013.01); H04N 19/00296 (2013.01); G06F 17/145 (2013.01);
Abstract

Embodiments of the present invention include a set of processes and systems for implementing a forward weight-adaptive over-complete transform of an image/video frame, an inverse weight-adaptive over-complete transform of an image/video frame, and fast and low-memory processes for performing the forward weight-adaptive over-complete transform, processing coefficients in the transform domain and performing the inverse weight-adaptive over-complete transform simultaneously.


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