scholarly journals A New Audio Watermarking Method Based on Discrete Cosine Transform with a Gray Image

2012 ◽  
Vol 4 (4) ◽  
pp. 119-128 ◽  
Author(s):  
Mohammad Ibrahim Khan
Keyword(s):  
Discrete Cosine Transform ◽  
Audio Watermarking ◽  
Cosine Transform ◽  
Gray Image

Dual Quantum Audio Watermarking Schemes Based on Quantum Discrete Cosine Transform

2018 ◽  
Vol 58 (2) ◽  
pp. 502-521 ◽  
Author(s):  
Kehan Chen ◽  
Fei Yan ◽  
Abdullah M. Iliyasu ◽  
Jianping Zhao
Keyword(s):  
Discrete Cosine Transform ◽  
Audio Watermarking ◽  
Cosine Transform ◽  
Dual Quantum

scholarly journals Audio Watermarking Scheme in MDCT Domain

2013 ◽  
pp. 211-216
Author(s):  
Santosh Kumar Singh ◽  
Jyotsna Singh
Keyword(s):  
Discrete Cosine Transform ◽  
Audio Watermarking ◽  
Blind Detection ◽  
Transform Domain ◽  
Auditory Model ◽  
Cosine Transform ◽  
Watermark Embedding ◽  
Global Threshold ◽  
Simulation Results ◽  
Watermarking Scheme

In our proposed watermark embedding system, the original audio is segmented into overlapping frames. The psychoacoustic auditory model has been utilized to calculate the global threshold in modified discrete cosine transform domain. The perceptual insignificant locations have been used to insert the appropriately scaled watermark in the transform domain. Blind detection of watermark has been performed. Simulation results indicate that the proposed watermarking system is perceptually transparent and robust against various kind of attacks such as AWGN addition and MP3 compression.

A blind quantum audio watermarking based on quantum discrete cosine transform

2020 ◽  
Vol 55 ◽  
pp. 102495
Author(s):  
Mohsen Yoosefi Nejad ◽  
Mohammad Mosleh ◽  
Saeed Rasouli Heikalabad
Keyword(s):  
Discrete Cosine Transform ◽  
Audio Watermarking ◽  
Cosine Transform

LWT-DCT based Image Watermarking Scheme using Normalized SVD

2020 ◽  
Vol 13 ◽  
Author(s):  
Rahul Dixit ◽  
Amita Nandal ◽  
Arvind Dhaka ◽  
Vardan Agarwal ◽  
Yohan Varghese
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Cosine Transform ◽  
Image Watermarking ◽  
Singular Value ◽  
Cover Image ◽  
Lifting Wavelet Transform ◽  
Cosine Transform ◽  
Lifting Wavelet ◽  
Value Decomposition

Background: Nowadays information security is one of the biggest issues of social networks. The multimedia data can be tampered with, and the attackers can then claim its ownership. Image watermarking is a technique that is used for copyright protection and authentication of multimedia. Objective: We aim to create a new and more robust image watermarking technique to prevent illegal copying, editing and distribution of media. Method : The watermarking technique proposed in this paper is non-blind and employs Lifting Wavelet Transform on the cover image to decompose the image into four coefficient matrices. Then Discrete Cosine Transform is applied which separates a selected coefficient matrix into different frequencies and later Singular Value Decomposition is applied. Singular Value Decomposition is also applied to the watermarking image and it is added to the singular matrix of the cover image which is then normalized followed by the inverse Singular Value Decomposition, inverse Discrete Cosine Transform and inverse Lifting Wavelet Transform respectively to obtain an embedded image. Normalization is proposed as an alternative to the traditional scaling factor. Results: Our technique is tested against attacks like rotation, resizing, cropping, noise addition and filtering. The performance comparison is evaluated based on Peak Signal to Noise Ratio, Structural Similarity Index Measure, and Normalized Cross-Correlation. Conclusion: The experimental results prove that the proposed method performs better than other state-of-the-art techniques and can be used to protect multimedia ownership.

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