PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm

Zahra Golpayegani, Nizar Bouguila

2024

Abstract

Storing data is particularly a challenge when dealing with image data which often involves large file sizes due to the high resolution and complexity of images. Efficient image compression algorithms are crucial to better manage data storage costs. In this paper, we propose a novel region-based lossy image compression technique, called PatchSVD, based on the Singular Value Decomposition (SVD) algorithm. We show through experiments that PatchSVD outperforms SVD-based image compression with respect to three popular image compression metrics. Moreover, we compare PatchSVD compression artifacts with those of Joint Photographic Experts Group (JPEG) and SVD-based image compression and illustrate some cases where PatchSVD compression artifacts are preferable compared to JPEG and SVD artifacts.

Paper Citation

in Harvard Style

Golpayegani Z. and Bouguila N. (2024). PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-684-2, SciTePress, pages 886-893. DOI: 10.5220/0012488500003654

in Bibtex Style

@conference{icpram24,
author={Zahra Golpayegani and Nizar Bouguila},
title={PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2024},
pages={886-893},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012488500003654},
isbn={978-989-758-684-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm
SN - 978-989-758-684-2
AU - Golpayegani Z.
AU - Bouguila N.
PY - 2024
SP - 886
EP - 893
DO - 10.5220/0012488500003654
PB - SciTePress