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:
Aug. 13, 2024

Filed:

Jun. 29, 2021
Applicant:

Tencent America Llc, Palo Alto, CA (US);

Inventors:

Ding Ding, Palo Alto, CA (US);

Wei Jiang, Sunnyvale, CA (US);

Wei Wang, San Jose, CA (US);

Shan Liu, San Jose, CA (US);

Xiaozhong Xu, State College, PA (US);

Assignee:

TENCENT AMERICA LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/4046 (2024.01); G06N 3/045 (2023.01); G06T 9/00 (2006.01); H04N 19/105 (2014.01); H04N 19/117 (2014.01); H04N 19/159 (2014.01); H04N 19/176 (2014.01); H04N 19/60 (2014.01);
U.S. Cl.
CPC ...
G06T 3/4046 (2013.01); G06N 3/045 (2023.01); G06T 9/002 (2013.01); H04N 19/105 (2014.11); H04N 19/117 (2014.11); H04N 19/159 (2014.11); H04N 19/176 (2014.11); H04N 19/60 (2014.11);
Abstract

A method of block-wise neural image compression with post filtering is performed by at least one processor of an encoder and includes encoding a block of an input image, using a first neural network, wherein the encoded block is decoded by a decoder using a second neural network to generate a reconstructed block, and performing intra-prediction on the reconstructed block, using a third neural network, to generate a predicted block. The method further includes determining a difference between the block of the input image and the generated predicted block, to generate a prediction residual, encoding the generated prediction residual, using a fourth neural network, wherein the encoded prediction residual is decoded by the decoder using a fifth neural network, and adding the decoded prediction residual to the generated predicted block, to generate a recovered predicted block.


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