Image and video compression via singular value decomposition with user-interface.

Explanations about three projects of Linear Algebra course; including LU decompositions, denoising signals, and SVD decompositions

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.