Design and simulation of Constant bit rate compressor using fuzzy logic

Meenakshi, K.; Bethel, G. N. Beena

doi:10.1109/cnsc.2014.6906697

Cited by 9 publications

(1 citation statement)

References 7 publications

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“…The main disadvantage of watermarking in pixel or transform domain is that the two watermarking performance constraints Transparency and Robustness are mutually tradeoff to each other. Thus, in recent years to optimize transparency and Robustness concurrently transform domain methods are incorporated with optimization methods such as Fuzzy Logic [22], ABC Algorithm [23][24][25][26][27], Genetic Algorithm (GA) [28], Particle Swarm Optimization (PSO) [29] and Particle Swarm Bacterial Foraging Optimization algorithm (PBSFO) [2]. Therefore, in the proposed work ABC optimization algorithm is implemented to optimize both Transparency and Robustness simultaneously to offer guaranteed authenticity and security of transmitted video information.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimized Discrete Wavelet Transform-Singular Value Decomposition Based Video Watermarking

Kuraparthi¹,

Kollati²,

Kora³

2019

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The effortless editing, interchanging and replication of multimedia data on the internet is growing exponentially and has created copyright protection uncertainties for content providers. Thus, in order to discourage illegal duplication and to attain the required level of protection to digital data, digital watermarking is found to be a feasible solution. Thus, this paper proposes a video watermarking technique by exploring Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) transform in addition to Artificial Bee colony (ABC) Optimization algorithm. In this paper, DWT is applied on every luminance frame which is divided into 8x8 blocks of the video 'V' thus producing distinct frequency sub-bands. Out of them, LL band is selected for watermark insertion. Later SVD transform is implemented on the selected dwt blocks of LL bands of all frames. The starting indices of best blocks are obtained adaptively rather than manually through ABC algorithm. At the receiving part, retrieval of watermark contents is achieved by a similar evaluation scheme practiced during the embedding procedure. The proposed optimized DWT-SVD based video watermarking method has been evaluated in the presence of video processing attacks and simulation results proved that due to cascading of two powerful mathematical transforms DWT and SVD in addition to ABC algorithm the proposed video watermarking method endures all attacks and aptly extracts the concealed watermark without significant degradation in the video quality of the watermarked video. Thus when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is correlated with other related techniques it is found that the PSNR of the proposed method is above 53 dB for all set of videos and Robustness of the scheme is superior than the existing schemes for similar set of videos in terms of NC.

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