Image and video compression via singular value decomposition with user-interface.
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Updated
Dec 10, 2022 - Python
Image and video compression via singular value decomposition with user-interface.
This project demonstrates the application of Singular Value Decomposition (SVD) for image compression using Python and NumPy.
A jupyter notebook showing how images are compressed using Singular Value Decomposition in Python
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SVD is basically a matrix factorization technique, which decomposes any matrix into 3 generic and familiar matrices. It has some cool applications in Machine Learning and Image Processing.
Image compression using SVD in Python using NumPy, Pillow and Matplotlib.
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