/Image_Denoising_using_SVD

The repository focuses on utilizing Singular Value Decomposition (SVD) to reduce noise in images, addressing the critical task of image denoising in image processing.

Primary LanguageJupyter Notebook

Image Denoising using Singular Value Decomposition (SVD)

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.