A Robust Video Watermarking Algorithm

Al-Khatib, Tahani; Al-Haj, Ali; Rajab, Lama; Mohammed, Hiba A.

doi:10.3844/jcssp.2008.910.915

Cited by 24 publications

(7 citation statements)

References 16 publications

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“…Imperceptibility indicates the watermark perceptual transparency [1], while robustness refers to the ability of extracting the embedded watermark from the received media even after an intentional or unintentional attack such as degradation, additive noise, rotation, cropping, or filtering [1] [2]. Two additional considerable issues of the watermarking techniques are data payload and normalized correlation, Data payload, also referred as capacity, includes methods that make it possible to embed the large information.…”

Section: Introductionmentioning

confidence: 99%

Blind Video Watermarking based on DWT-SHUR and Optimized Firefly Algorithm

Dixit¹,

Sharma²,

Kulshreshtha³

2016

IJCA

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Illegitimate duplication, piracy, circulation and amendment of digitized information are well thought-out infringements aligned with intellectual property rights. Thus digital watermarking came into existence due to the evolving obligation of copyright protection.We have presented a blind digital video watermarking technique based on the Discrete Wavelet transform (DWT), Firefly algorithm and the real Schur Decomposition. The scheme is using optimized firefly algorithm to trace the best DWT blocks with large texture value for inserting watermark and to minimize the error rate. The scheme starts with applying two-level DWT to the video scene. It finds the suitable place to embed watermark using Firefly algorithm and then apply Schur decomposition. Schur uses Singular Value Decomposition to embed the binary watermark bits in the resultant block upper triangular matrix. The proposed technique shows high efficiency since Schur decomposition requires fewer computations compared to other transforms and robustness due to optimized firefly algorithm. It provides better results in terms of imperceptibility and normalized correlation.

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Section: Introductionmentioning

confidence: 99%

Blind Video Watermarking based on DWT-SHUR and Optimized Firefly Algorithm

Dixit¹,

Sharma²,

Kulshreshtha³

2016

IJCA

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“…Effective techniques in watermarking should consider both imperceptivity and robustness of the algorithm. Imperceptibility refers to the watermark perceptual transparency [1], while robustness indicates the ability of extracting the embedded watermark from the digital media under intentional or unintentional attacks such as degradation, cropping, filtering or additive noise [1] [2]. Capacity and blindness of the watermarking techniques are two additional issues to be considered as well.…”

Section: Introductionmentioning

confidence: 99%

A Blind DWT-SCHUR Based Digital Video Watermarking Technique

Rajab¹,

Al-Khatib²,

Al-Haj³

2015

JSEA

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Digital watermarking is one of the most powerful tools used in ownership and copyrights protection in digital media. This paper presents a blind digital video watermarking technique based on a combination scheme between the Discrete Wavelet transform in (DWT) and the real Schur Decomposition. The scheme starts with applying two-level DWT to the video scene followed by Schur decomposition in which the binary watermark bits are embedded in the resultant block upper triangular matrix. The proposed technique shows high efficiency due to the use of Schur decomposition which requires fewer computations compared to other transforms. The imperceptibility of the scheme is also very high due to the use of DWT transform; therefore, no visual distortion is noticed in the watermarked video after embedding. Furthermore, the technique proves to be robust against set of standard attacks like: Gaussian, salt and pepper and rotation and some video attacks such as: frame dropping, cropping and averaging. Both capacity and blindness features are also considered and achieved in this technique.

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“…Many digital watermarking schemes have been proposed for still images and videos [2]. Most of them operate on uncompressed videos [3][4], while others embed watermarks directly into compressed videos [3,6]. The work on video specific watermarking can be further found in [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Hybrid Video Watermarking using WBCT and NMF

KishoreKumar¹,

Pavani²,

Babu³

2012

IJCA

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Watermarking techniques are mainly used for protecting intellectual property right. This paper proposes a new hybrid nonblind video watermarking technique using wavelet contourlet transform and nonnegative matrix factorization Wavelet transform processed images are losing edge information. The Contourlet transform has good approximation properties for smooth 2D functions and finds a direct discrete space construction. But its performance is considered to be redundant. There evolved wavelet based contourlet transform (WBCT), as a nonredundant version of the contourlet transform. WBCT is used for watermarking video frames. The non negative matrix factorization (NMF) is used as dimension reduction technique in watermarking. NMF is applied to low pass and directional high pass sub bands which results from WBCT of each original video frame and gray scale watermark images. Embedding action is performed in low pass sub-band of WBCT processed video frame. The hybrid scheme improves the performance of watermarking scheme. The experimental results shows that the proposed video watermarking scheme provides better video processing operations such as cropping, rotation, histogram equalization ,compression, variety of noises , frame dropping, frame averaging and frame swapping and etc.

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A Robust Video Watermarking Algorithm

Cited by 24 publications

References 16 publications

Blind Video Watermarking based on DWT-SHUR and Optimized Firefly Algorithm

Blind Video Watermarking based on DWT-SHUR and Optimized Firefly Algorithm

A Blind DWT-SCHUR Based Digital Video Watermarking Technique

Adaptive Hybrid Video Watermarking using WBCT and NMF

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