Image Equalization Using Singular Value Decomposition and Discrete Wavelet Transform

Watermarking merupakan teknik penyembunyian data/informasi kedalam suatu citra digital yang tidak kasat mata atau tidak dapat diketahui secara visual. Penyembunyian data/informasi kedalam citra tersebut bersifat rahasia. Karena tahan terhadap proses digitalisasi, teknik watermarking dapat digunakan untuk melindungi kepemilikan suatu citra digital. Ada tiga kriteria yang harus diperhatikan dalam watermarking pada citra digital, diantaranya adalah security, impreceptibily, dan robustness. Pada tugas Penulisan Karya Ilmiah (PI) ini dibuat suatu program watermarking menggunakan metode Discrete Wavelet Transform (DWT) dan Singular Value Decomposition (SVD) yang kemudian juga akan dipaparkan bagaimana cara menggunakan program watermarking yang telah dibuat. Keunggulan dari program ini citra yang digunakan dalam program watermarking ini dapat berupa citra berwarna maupun citra grayscale. Program watermarking ini dibuat menggunakan bahasa pemrograman C++ melalui aplikasi Matlab Kata Kunci : Wateramarking , Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Matlab, Bahasa Pemrograman C++.

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Block Based Blind & Secure Gray Image Watermarking Technique Based on Discrete Wavelet Transform and Singular Value Decomposition

KSII Transactions on Internet and Information Systems ◽

10.3837/tiis.2017.02.014 ◽

2017 ◽

Vol 11 (2) ◽

Keyword(s):

Wavelet Transform ◽

Singular Value Decomposition ◽

Discrete Wavelet Transform ◽

Image Watermarking ◽

Singular Value ◽

Discrete Wavelet ◽

Gray Image ◽

Block Based ◽

Value Decomposition

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AUDIO WATERMARKING WITH ANGLE QUANTIZATION BASED ON DISCRETE WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

International Journal of Students Research in Technology & Management ◽

10.18510/ijsrtm.2018.627 ◽

2018 ◽

Vol 6 (2) ◽

pp. 41-52

Author(s):

Divya Chadar ◽

Shailja Shukla

Keyword(s):

Wavelet Transform ◽

Singular Value Decomposition ◽

Discrete Wavelet Transform ◽

Auditory System ◽

Audio Signal ◽

Singular Value ◽

New Method ◽

Discrete Wavelet ◽

Audio Watermark ◽

Value Decomposition

An audio watermark is a unique electronic identifier embedded in an audio signal, typically used to identify ownership of copyright. Proposed work is a new method of audio watermark hiding inside another bigger cover standard audio cover. The method includes ‘harr’ wavelet based Discrete Wavelet Transform decomposition of frequencies hence the audio samples of watermark gets hidden only those parts of cover audio where human ears are less sensible according to Human Auditory System. Proposed method also includes the Singular Value Decomposition, which is required for making our method robust against the various communication of processing attacks like compression, filtering, fading or noise addition. Proposed work is also using the concept of angular modulation which initially modifies the audio watermark in to provide extra security and also extra robustness in communication. The design is been develop on MATLAB 2013b version and verification of design o the same.

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ADAPTIVE IMAGE WATERMARKING USING DISCRETE WAVELET TRANSFORM, SINGULAR VALUE DECOMPOSITION AND AUTOMORPHISM

International Journal of Students Research in Technology & Management ◽

10.18510/ijsrtm.2018.6211 ◽

2018 ◽

Vol 6 (2) ◽

pp. 77-80

Author(s):

Om Narayan Mishra ◽

Shailja Shukla

Keyword(s):

Wavelet Transform ◽

Singular Value Decomposition ◽

Discrete Wavelet Transform ◽

Image Watermarking ◽

Singular Value ◽

Cover Image ◽

Discrete Wavelet ◽

Object Image ◽

Xor Operation ◽

Value Decomposition

Watermarking is a method to hide the image efficiently into any covering object (image in our case) so no intruder can interpret it by any means. Proposed work is a new design of image watermarking which include pre-processing of cover image with Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Proposed work using an alphanumeric key which initially modifies the watermark using simple ‘XOR’ operation, and at the receiver end this key must be there so that receiver can extract the watermark. Proposed work is also using torus Automorphism which initially changes the watermark into a scramble format which cannot be recognised as original watermark.

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