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:
Dec. 09, 2025

Filed:

Aug. 30, 2023
Applicant:

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

Inventors:

Yang Sui, Piscataway, NJ (US);

Ding Ding, Palo Alto, CA (US);

Xiaozhong Xu, Palo Alto, CA (US);

Shan Liu, Palo Alto, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/42 (2014.01); H04N 19/119 (2014.01); H04N 19/167 (2014.01); H04N 19/176 (2014.01);
U.S. Cl.
CPC ...
H04N 19/42 (2014.11); H04N 19/119 (2014.11); H04N 19/167 (2014.11); H04N 19/176 (2014.11);
Abstract

Methods and apparatuses for decoding a compressed image using a neural image compression network may be provided. The method may include generating long-range context model parameters associated with a high resolution compressed image, the long-range context model parameters corresponding to a first area. The method may also include splitting the generated long-range context model parameters into a first number of context parameter blocks. The method may also include for each block in the first number of context parameter blocks, predicting respective context features using a long-range context model and respective context parameter blocks, wherein the long-range context model uses a corner-to-center latent decoding strategy or an edge-to-center latent decoding strategy to decode latents associated with the high resolution compressed image. Then, the high resolution compressed image may be reconstructed based on predicted context features.


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