PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917687766024192 |
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| author | Golpayegani, Zahra Bouguila, Nizar |
| author_facet | Golpayegani, Zahra Bouguila, Nizar |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_05129 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PatchSVD: A Non-uniform SVD-based Image Compression Algorithm Golpayegani, Zahra Bouguila, Nizar Computer Vision and Pattern Recognition 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. |
| title | PatchSVD: A Non-uniform SVD-based Image Compression Algorithm |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.05129 |