numerical computation project

Lab

CS 535 Numerical Computation

Name: Yongseung Lee

Coyote ID: 004174533

I Problem Statement and Goals

The emergency of the Singular Value Decomposition (SVD) is considered a new paradigm that helps in the processing of various types of images. Despite the wide utilization of the SVD's generous properties, there are various properties of the SVD that remains unexploited as far as image processing is concerned. The paper seeks to examine these unexploited in addition to the introduction of the new trends as well as challenges while utilizing the SVD in image processing applications.

II Methods, Algorithms, Tools used (if any)

The aim is only to examine the various properties of the SVD Image. Comprehension about the significance/ importance of the SVD, the SVD is quite a powerful and reliable orthogonal matrix decomposition method.

III Program (provide detailed codes for each question if any)

No codes were used in this research.

IV Results (provide analysis and results for each question)

This involved calculating the comprehension ratio, which in this case is calculated using the following formula.

R= *10