RESTORASI CITRA TERDERAU DENGAN METODE NON-LOCAL MEANS DENOISING

MARCIANO, MUHAMMAD KICKO and Fachrurrozi, Muhammad (2024) RESTORASI CITRA TERDERAU DENGAN METODE NON-LOCAL MEANS DENOISING. Undergraduate thesis, Sriwijaya University.

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Abstract

Digital images are one of the most used for various applications that is always in our everyday life. These images always come with noises, an anomaly that distorts the image further from its original condition. This could be fatal to some of the everyday life usage that humans do, such as medical conditions. The method in this study, Non-Local Means will be used to restore these images to at least nearing its original condition to preserve the details that they have to offer. Peak Signal-to-Noise Ratio (PSNR) will be used to measure the image quality the closer they are to its original condition. Based on the test results using 50 sample data, Non-Local Means can restore images up to PSNR result 28.26 should the configurations that yields the corresponding result is used.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Non-Local Means, Peak Signal-to-Noise Ratio (PSNR), Derau
Subjects:	T Technology > TR Photography > TR287-500 Photographic processing. Darkroom technique
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Muhammad Kicko Marciano
Date Deposited:	24 Oct 2024 08:23
Last Modified:	24 Oct 2024 08:23
URI:	http://repository.unsri.ac.id/id/eprint/157473

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