SVD-Based Image Compression: A Comprehensive Survey of Methods, Metrics, Optimization Strategies, and Emerging Trends

The rapid growth of digital images in communication, storage, and edge-device applications has sustained interest in compression methods that are both interpretable and quality-aware. Singular Value Decomposition (SVD) is a mathematically grounded approach to lossy image compression because it explo...

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Detalhes bibliográficos

Principais autores:	Dhanush Naidu, Phanindra Varma, Keerthan Reddy, Reena Panwar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Singular value decomposition image compression rank approximation PSNR SSIM hybrid compression
Acesso em linha:	https://ieeexplore.ieee.org/document/11523487/
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