A High Result in Wavelet Watermarking Using Singular Value Decomposition

Sari, Wellia Shinta; Sari, Christy Atika

doi:10.22219/kinetik.v4i3.729

Cited by 6 publications

(5 citation statements)

References 8 publications

(9 reference statements)

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“…Image processing dan internet telah mempermudah untuk menggandakan, memodifikasi, mereproduksi, dan mendistribusikan gambar digital dengan biaya rendah dan pengiriman secara cepat dengan kualitas tinggi. Digital watermarking sendiri adalah teknologi di mana informasi identifikasi dimasukkan ke dalam pembawa data dengan cara yang tidak dapat dengan mudah dilihat, dan di mana penggunaan data tidak akan terpengaruh (Sari, 2019). Pelanggaran data yang luas menghasilkan akses yang tidak sah dan menimbulkan masalah pada penggunaan data dalam seni, periklanan, dan bahkan bidang medis.…”

Section: Rq2 Mengapa Perlu Untuk Melakukan Watermarking Pada Image Di...unclassified

Systematic Literature Review: Rancang Bangun Image Digital Watermarking

Kristianingrum

Faishal

Irawan

2022

JBMI

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Digital Image Watermarking is a technology used in information security applications such as protection of digital image content and copyright protection. Digital image watermarking is an interesting area of research because it protects multimedia data from unauthorized access. To design an efficient and robust digital image watermarking system, a balance must be maintained. In this Systematic Literature Review (SLR), we conduct a brief review of the literature on digital image watermarking on journal papers published from 2018. Watermarking algorithms can be classified based on different criteria. Depending on the particular application, the watermarking algorithm must meet certain requirements. The expected result of this research is to know what digital image watermarking is, what it is for and is it useful to do digital image watermarking.

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Section: Rq2 Mengapa Perlu Untuk Melakukan Watermarking Pada Image Di...unclassified

Systematic Literature Review: Rancang Bangun Image Digital Watermarking

Kristianingrum

Faishal

Irawan

2022

JBMI

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“…Frequency L is Low, and H is High. DWT is also an orthogonal transform with a fast computational process [23]. Figure 1 illustrates the DWT sub-band decomposition.…”

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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“…Untuk mengukur imperceptibility citra terwatermarked digunakan Peak Signal to Noise Ratio (PSNR), untuk mendapatkan nilai PSNR diperlukan perhitungan Mean Sequared Error (MSE) [13], [17]- [19], berikut persamaan untuk MSE dan PSNR seperti pada persamaan (1) hingga persamaan (4). Dimana f 0 = citra terwatermark, f i = citra penampung, A 0 = citra watermark dan A i = citra watermark hasil ekstraksi.…”

Section: Pengukuran Kualitas Citraunclassified

Watermarking Medical Image Menggunakan Discrete Wavelet Transform Berbasis Kompresi Run Length Encode

Abdussalam

Pramudya

2022

SEMNASTEKMU

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Teknologi internet yang terus berkembang menimbulkan banyak dampak terhadap media digital yang berupateks, citra, audio dan video. Salah satu dampaknya adalah kemudahan dalam pertukaran, pendistribusian danpenggandaan data digital, di sisi lain kemudahan ini juga menimbulkan permasalahan ketika data digital ituterlindungi oleh hak cipta atau data digital itu bersifat rahasia. Watermarking menjadi salah satu solusi untukmasalah perlindungan hak cipta data digital. Penelitian tentang watermarking telah banyak dilakukan sebelumnyasalah satunya adalah DWT. Dari beberapa Penelitian yang telah dilakukan ditemukan adanya kelemahan padaproses penyisipan pesan yaitu waktu untuk proses penyisipan citra watermark yang relative lama apalagi untukcitra dengan size yang besar.Adanya permasalahan mengenai waktu penyisipan pesan yang relatif lama maka perluuntuk melanjutkan penelitian mengenai watermarking untuk mencoba menerapkan proses kompresi pada citra aslisebelum dilakukan proses penyisipan citra watermark. Citra asli yang akan disisipi citra watermark akandikompres menggunakan algoritma Run Length Encoding. Hasil dari kompresi RLE menunjukkan size file imagemenjadi besar dikarenakan dataset citra yang digunakan memiliki nilai intensitas yang beragam. Hasil dariwatermarking y

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A High Result in Wavelet Watermarking Using Singular Value Decomposition

Cited by 6 publications

References 8 publications

Systematic Literature Review: Rancang Bangun Image Digital Watermarking

Systematic Literature Review: Rancang Bangun Image Digital Watermarking

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

Watermarking Medical Image Menggunakan Discrete Wavelet Transform Berbasis Kompresi Run Length Encode

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