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ITU-T work programme

[2025-2028] : [SG21] : [Q6/21]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: T.840.1 (ex T.JPEG-AI)
Subject/title: Information technology - JPEG AI learning-based image coding system: Core coding system
Status: Approved on 2025-03-16 [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: ISO/IEC 6048 (Common)
Timing: -
Liaison: -
Supporting members: -
Summary: Recommendation ITU-T T.840.1 | ISO/IEC 6048-1 specifies a image coding technology known as JPEG AI learning-based image coding (JPEG AI) and it has been designed with multi-task goal. It facilitates the compression and processing of images for both human and machine vision. This Recommendation | International Standard describes the JPEG AI learning-based standard for the creation of a image from the parsed single-stream, which contains the compact compressed domain representation, targeting both human visualization, with significant compression efficiency improvement over image coding standards in common use at equivalent subjective quality, and effective performance for image processing and computer vision tasks. Core coding system describes the JPEG AI standard for the human vision reconstruction task and thus specifies the parsing of the coded stream and the image reconstruction process. The trainable model parameters, which are an integral part of this Recommendation | International Standard, are not listed in the document due to their size. Instead, the trained model parameters are available at: https://standards.iso.org/iso-iec/6048/-1/ed-1/en/ and //1f8a81b9b0707b63-19211.webchannel-proxy.scarabresearch.com/ifa/t/2025/sg21/exchange/AAP/T.840.1 (see subclause 18.2). This Recommendation | International Standard was developed collaboratively with ISO/IEC JTC 1/SC 29, and corresponds with ISO/IEC 6048-1 as common text.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Elena Alshina, Editor
Joao Ascenso, Editor
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First registration in the WP: 2022-02-07 15:40:09
Last update: 2025-02-14 10:38:51