An Application for Denoising Images with Spatially Correlated Noise Using a Wavelet-based Algorithm

dc.contributor.author	Enriquez, Cornelius Athus R.
dc.date.accessioned	2024-05-14T01:14:11Z
dc.date.available	2024-05-14T01:14:11Z
dc.date.issued	2023-07
dc.identifier.uri	http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/2688
dc.description.abstract	This project presents an image denoising application based on wavelet-based algorithms for the removal of spatially correlated noise. The application offers users a user-friendly interface to denoise images using various algorithms specifically designed for spatially correlated noise mitigation. Experimental evaluations using PSNR and SSIM as metrics demonstrate the effectiveness of the proposed application in reducing spatially correlated noise while maintaining image quality.	en_US
dc.description.sponsorship	, , , ,	en_US
dc.subject	Image Denoising	en_US
dc.subject	Wavelet-based denoising	en_US
dc.subject	Structured Noise2Void	en_US
dc.subject	Deep CNN	en_US
dc.subject	Denoising application	en_US
dc.title	An Application for Denoising Images with Spatially Correlated Noise Using a Wavelet-based Algorithm	en_US
dc.type	Thesis	en_US