This repository contains code for implementing image denoising using Singular Value Decomposition (SVD). Image denoising is a crucial task in image processing, aiming to remove or reduce noise from images while preserving important details. SVD is a powerful mathematical technique that can be used for dimensionality reduction and noise reduction in images.
-
Notifications
You must be signed in to change notification settings - Fork 0
kianmajl/Image_Denoising_using_SVD
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The repository focuses on utilizing Singular Value Decomposition (SVD) to reduce noise in images, addressing the critical task of image denoising in image processing.