SVD based Approximation of digital images
In this guided exploration project you will understand the mathematics of reduced rank approximation of iamges - using SVD.
Some very rough guidelines are given below to help you start thinking about the project: more details will be provided during discussions.
- Read the paper “A Singularly Valuable Decomposition: The SVD of a matrix” by Dan Kalman to get a rough overview of some of the mathematics behind this.