IMPLEMENTASI REDUNDANT DISCRETE WAVELET TRANSFORM-SINGULAR VALUE DECOMPOSITION PADA DIGITAL IMAGE WATERMARKING

SYAIFULLAH, KHUMAIDY and Samsuryadi, Samsuryadi and Farissi, Al (2019) IMPLEMENTASI REDUNDANT DISCRETE WAVELET TRANSFORM-SINGULAR VALUE DECOMPOSITION PADA DIGITAL IMAGE WATERMARKING. Undergraduate thesis, Sriwijaya University.

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Abstract

This study combines the Redundant Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD) methods as a watermarking technique used to increase the imperceptibility and robustness of digital images. The purpose of this study is to measure or load the Peak Signal to Noise Ratio (PSNR) and Correlation Coefficient (CC) values for the inserted image file. The digital image used consists of 11 cover images and 1 watermark image in JPEG format. Testing is divided into three processes, namely the insertion process, the extraction process, and the extraction process after an attack. Tests carried out in the insertion process produce the highest value on the parameter scaling parameter 0.01 with a value of 44.74 while the test carried out on the extraction process produces the highest value on the parameter scaling factor 0.1 with a value of 34.26. The test results prove the value of PSNR and CC has high resistance to the type of attack and has a low defense to the type of speckle attack

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Digital Image Watermarking , Redundant Discrete Wavelet Transform, Singular Value Decomposition
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.B35 Image processing--Digital techniques. Pattern recognition systems Z Bibliography. Library Science. Information Resources > Z237 Paper. Watermarks, etc.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 4496 not found.
Date Deposited:	20 Jan 2020 06:57
Last Modified:	20 Jan 2020 06:57
URI:	http://repository.unsri.ac.id/id/eprint/24483

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