A novel Watermarking Technique Based on Hybrid Transforms

Abstract

This paper proposed Anovel watermarking scheme using hybrid of Dual Tree Complex Wavelet Transform and singular value decomposition . Image watermarking is to embed copyright data in image bit streams. Our proposed technique demonestrates the effective and robust of image watermarking algorithms using a hybrid of two strong mathematical transforms; the 2-level Dual Tree Complex Wavelet Transform (DT-CWT) and Singular Value Decomposition (SVD). This technique shows high level of security and robustness against attacks. The algorithm was tested for imperceptibility and robustness and the results were compared with DWT-SVD-based technique, it is shown that the proposed watermarking schemes is considerably more robust and effective.

Signing and Verifying Encrypted Medical Images Using Double Random Phase Encryption

“…Table 6 shows the comparative study with the techniques which use watermark as a mark. We found that our technique, which is different in methodology with these techniques, presents a high correlation when comparing to the techniques in [26]. It is shown that when we apply (AWGN) noise to a marked image and we get the correlation between the recovered mark and original, we find that the correlation is higher than that of the techniques using DWT, SVD, DWT-based SVD and DT-CWT-based SVD, as our technique gives a correlation between 0.1 to 0.75 and these techniques give a correlation in the range from 0.05 to 0.3 which means that our technique is more robust.…”

Protecting Ownership Rights of Videos Against Digital Piracy: An Efficient Digital Watermarking Scheme

“…Apart from spatial domain, considering frequency components of different regions in the image has also shown an important role in increasing the robustness of a digital watermarking based-ownership protection system in the literature. Abdallah and Alsodairi [10] have proposed a hybrid watermarking scheme based on CWT and singular value decomposition. Their main idea is to decompose the luminance part of the video frame into four frequency sub-bands of CWT and shaped the singular values of LL sub-band with the singular values of watermark image.…”

“…Transformation of digital data in frequency components for watermark embedding purpose offers better result against the attacks that process the signal when compared to the techniques that locate the pixels in spatial domain. Abdallah and Alsodairi [10] developed a hybrid technique to get the advantages of combining the mathematical aspects of complex wavelet transform with SVD and attain some improvements over simple frequency domain watermarking techniques. The motive of an adversary is to reduce the energy of watermark signal embedded in the host data by applying various signal processing techniques called attacks.…”

“…Pirating such contents causes huge financial losses to creator and hence an immediate solution of such problem needs to be addressed. Most of the solutions developed by researchers [9,10,11] to embed the watermark pattern in digital data are weakened by the adversary through reducing the synchronization between the vital information required to extract the embedded watermark by processing the digital contents. Numerous proposals have been suggested by many researchers [14,15] that claimed a sufficient amount of robustness and transparency to the embedded watermark but they failed to provide a safeguard due to the poor selection of watermarking location against many signal processing attacks.…”