Lossy Image Compression with Limited Time

The compression task is based on a trade-off between the time spent and the size reduction obtained. In most cases, it is assumed that this task is performed with a single, efficient, compressor, ignoring possible applicable time optimizations. In some cases, this assumption is wrong: for example, when there are resource or time limitations that make an optimization of the compression process necessary. In this work we deal with lossy image compression and study the case where this compression process is subject to a limited time constraint. Our objective is to optimize data compression efficiency while operating within constrained computational resources, especially under strict time constraints.

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Published
2025-05-21
DOI
https://doi.org/10.1109/iccta65425.2025.11165846
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

Lossy Image Compression with Limited Time

Bruno Carpentieri
Advanced Data Compression Techniques
article

Lossy Image Compression with Limited Time

Bruno Carpentieri
article en

Abstract

The compression task is based on a trade-off between the time spent and the size reduction obtained. In most cases, it is assumed that this task is performed with a single, efficient, compressor, ignoring possible applicable time optimizations. In some cases, this assumption is wrong: for example, when there are resource or time limitations that make an optimization of the compression process necessary. In this work we deal with lossy image compression and study the case where this compression process is subject to a limited time constraint. Our objective is to optimize data compression efficiency while operating within constrained computational resources, especially under strict time constraints.

University of Salerno (IT)
Openalex Percentile: Top 74%
Advanced Data Compression Techniques
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