DWT-SVD Combination Method for Copyrights Protection

Rachmawanto, Eko Hari; Sari, Christy Atika; Pradana, Rizky Putra

doi:10.15294/sji.v7i1.21050

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Secara umum, ada tiga teknik untuk melindungi data: kriptografi (Purnama Reza Dwi Oktaf, 2016;Permana et al, 2017;Rasjid et al, 2017), steganografi (Chowdhuri, Jana and Giri, 2018;Elkandoz, Alexan and Hussein, 2019), dan watermarking (Singh and Singh, 2017;Soualmi, Alti and Laouamer, 2018;Rachmawanto, Atika Sari and Pradana, 2020). Dalam enkripsi, data atau informasi dilindungi dengan cara menyandikan data tersebut sehingga makna aslinya tidak dapat langsung ditafsirkan oleh pembaca.…”

Section: Pendahuluanunclassified

Kombinasi Vigenere-Aes 256 dan Fungsi Hash Dalam Kriptografi Aplikasi Chatting

Handoko

Umam

2022

SNST

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Aplikasi chatting adalah aplikasi yang memungkinkan pengguna untuk mengirim pesan secara langsung atau real time tanpa jarak dari dunia internet. Berbagai jenis aplikasi perpesanan yang tersedia saat ini belum tentu memiliki keamanan yang baik karena tidak ada aturan baku yang digunakan untuk melindungi pesan dalam aplikasi tersebut. Dalam enkripsi, data atau informasi dilindungi dengan cara menyandikan data tersebut sehingga makna aslinya tidak dapat langsung ditafsirkan oleh pembaca. Vigenere Cipher adalah algoritma enkripsi klasik sederhana yang pengkodeannya menggunakan kotak yang disebut tabel Vigenere. AES (Advanced Encryption Standard) adalah salah satu teknik enkripsi modern yang menggunakan permutasi, permutasi, dan beberapa putaran atau putaran yang diterapkan pada setiap blok yang dienkripsi/didekripsi. Dengan demikian, dalam penelitian ini, kami mengimplementasikan kombinasi password klasik dan modern, yaitu Vigenere Cipher dan AES. Hasil eksperimen membuktikan bahwa kombinasi enkripsi menghasilkan nilai entropi informasi yang tinggi sebesar 4,125937 dan nilai koefisien korelasi mendekati nol sebesar 0,00722057 untuk pesan 1024 byte.

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Section: Pendahuluanunclassified

Kombinasi Vigenere-Aes 256 dan Fungsi Hash Dalam Kriptografi Aplikasi Chatting

Handoko

Umam

2022

SNST

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“…The wavelet transform has two development series: Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT). Discrete Wavelet Transform (DWT) algorithm [20] is an image-processing algorithm that uses the same mathematical calculations as DCT [21]. DWT has the characteristics of the image decomposition model into four parts (subbands), namely LL, LH, HL, and HH [22].…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

Remove Blur Image Using Bi-Directional Akamatsu Transform and Discrete Wavelet Transform

Andono

Sari²

2022

SJI

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Purpose: Image is an imitation of everything that can be materialized, and digital images are taken using a machine. Although digital image capture uses machines, digital images are not free from interference. Image restoration is needed to restore the quality of the damaged image.Methods: Bi-directional Akamatsu Transform is proven to have an effective performance in reducing blur in images. Meanwhile, Discrete Wavelet Transform has been widely used in digital image processing research. We had been investigated the image restoration method by combining Bi-directional Akamatsu Transform and Discrete Wavelet Transform. Bi-directional Akamatsu Transform applied in Low-Low (LL) sub-band is the Discrete Wavelet Transform decomposition image most similar to the original image before decomposing. In this study, there are still shortcomings, including the determination of the values of N, up_enh, and down_enh, which are still manual. Manually setting the three values makes the Bi-directional Akamatsu Transform method not get the best results. With the use of machine learning methods can get better restoration results. Further testing is also needed for a more diverse and robust blur. The image data has a resolution of 256x256, 512x512, and 1024x1024. The image will be directly converted to a grey-scale image. The converted image will be given an attack model: average blur, gaussian blur, and motion blur. The image that has been attacked will apply two restoration methods: the proposed method and the Bi-direction Akatamatsu Transform. These two restoration images will then be compared using PSNR.Result: The average PSNR value from the restoration of the proposed method is 0.1446 higher than the average PSNR value from the restoration of the Bi-directional Akamatsu Transform method. When we compare it with the average PSNR value of the Akamatsu Transform restoration method, the average PSNR of the proposed method is 0.2084.Value: The combination of DWT and akamatsu transform results produce good PSNR values even though they have gone through the blurring method in image restoration.

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“…In other studies digital watermarking is used to improve medical image security, confidentiality and integrity. Judging from the data in the form of images, it can be predicted that the memory requirements for data are greater when compared to data in the form of text, generally images are stored in the joint photographic expert group (JPEG) or bitmap (BMP) format [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

Abdussalam,

Pramudya

2023

JAIS

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This study focus on identifying medical images by proposing the Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) transformation watermarking technique and prove an increase the quality of watermarked images is good in terms of imperceptibility. Due to reduce the need for data memory compression is applied to the host image, where the compression technique chosen is lossless so that the compressed host image experiences a decrease in file size while maintaining data integrity, to maintain image degradation perceptions and diagnostic quality standards during the watermarking process. Here, we use DWT-DCT-SVD and Run Length Encoding (RLE). A good Peak Signal to Noise Ratio (PSNR) more than 30 dB using over than 200 compression size. The extracted watermark image is quite good with a fairly high PSNR value. The highest compression result size is in 32.2511.

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DWT-SVD Combination Method for Copyrights Protection

Cited by 3 publications

References 18 publications

Kombinasi Vigenere-Aes 256 dan Fungsi Hash Dalam Kriptografi Aplikasi Chatting

Kombinasi Vigenere-Aes 256 dan Fungsi Hash Dalam Kriptografi Aplikasi Chatting

Remove Blur Image Using Bi-Directional Akamatsu Transform and Discrete Wavelet Transform

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

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