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dc.contributor.authorEnriquez, Cornelius Athus R.-
dc.date.accessioned2024-05-14T01:14:11Z-
dc.date.available2024-05-14T01:14:11Z-
dc.date.issued2023-07-
dc.identifier.urihttp://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/2688-
dc.description.abstractThis 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.subjectImage Denoisingen_US
dc.subjectWavelet-based denoisingen_US
dc.subjectStructured Noise2Voiden_US
dc.subjectDeep CNNen_US
dc.subjectDenoising applicationen_US
dc.titleAn Application for Denoising Images with Spatially Correlated Noise Using a Wavelet-based Algorithmen_US
dc.typeThesisen_US
Appears in Collections:Computer Science SP

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