Image Compression with Singular Value Decomposition: A Technical Overview

This ArXiv article likely presents a technical exploration of image compression methods utilizing Singular Value Decomposition (SVD). The analysis would focus on the mathematical foundations, practical implementation, and efficiency of this approach for image data reduction.

• •SVD is a powerful linear algebra technique used for dimensionality reduction.
• •Image compression relies on discarding less significant singular values.
• •This method potentially offers lossy image compression capabilities.