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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
Linear Algebra projects of Spring 2021 at CE AUT
Linear Algebra Course [ECE 174] - Fall 2022 - University of Tehran - Dr. Sarafraz
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.
AUT Applied Linear Algebra course projects
Image compression using SVD in Python using NumPy, Pillow and Matplotlib.
Explanations about three projects of Linear Algebra course; including LU decompositions, denoising signals, and SVD decompositions
Flask web app to compress images by SVD method. Tugas Besar 2 IF2123 Aljabar Linier dan Geometri
[Rmd/HTML] Implementation of the Randomized Power Method to compute the SVD + Image compression with SVD
Image compression using singular value decomposition method (SVD) in Matlab.