Adapting JPEG XS gains and priorities to tasks and contents

TL;DR

This paper demonstrates how JPEG XS, a lightweight image codec, can be adapted to specific tasks and content types by optimizing its parameters, improving its utility beyond standard compression goals.

Contribution

It introduces a method to adapt JPEG XS gains and priorities for different tasks and contents using an evolutionary optimization strategy.

Findings

JPEG XS can be tailored for specific applications.

Optimization improves visual quality and task accuracy.

Method enhances practical usability of lightweight codecs.

Abstract

Most current research in the domain of image compression focuses solely on achieving state of the art compression ratio, but that is not always usable in today's workflow due to the constraints on computing resources. Constant market requirements for a low-complexity image codec have led to the recent development and standardization of a lightweight image codec named JPEG XS. In this work we show that JPEG XS compression can be adapted to a specific given task and content, such as preserving visual quality on desktop content or maintaining high accuracy in neural network segmentation tasks, by optimizing its gain and priority parameters using the covariance matrix adaptation evolution strategy.