TY - GEN
T1 - Robust DWT-SVD Based Blind Watermarking for Dibr 3D Video
AU - Vidya, K.
AU - Sujithra, T.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Watermarking has been supplicate as a tool for the preservation of cognitive property rights of multimedia contents. Because of their digital nature, multimedia documents can be mimeographed, reformed, metamorphosed, and promulgated very effortlessly. In this ambience, it is indispensable to burgeon a system for copyright protection, preservation against mimeograph, and validation of contents. In this case, a watermark data is embedded into the actual multimedia content in such a way that it is long-lasting to the content itself. Later on, such watermark can be extracted to manifest ownership to pursue the distribution of the patent toil through the network. In this developed watermarking, predominantly concentrated on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Apart from this, it also prevents the copyright of virtual views which is generated by using a technique called Depth-Image-Based-Rendering. In this approach, secret data is inserted in the actual center vision using two mathematical transform, DWT and SVD. Then, multiple vision are automatically produced from the watermarked middle view and their corresponding profundity map at the content provider side. Finally watermark will be able to removed from all the three views in a sightless vogue without using the actual content of all the three views. In this proposed watermarking strategy is much better strong to image compression, noise addition and geometric distortion.
AB - Watermarking has been supplicate as a tool for the preservation of cognitive property rights of multimedia contents. Because of their digital nature, multimedia documents can be mimeographed, reformed, metamorphosed, and promulgated very effortlessly. In this ambience, it is indispensable to burgeon a system for copyright protection, preservation against mimeograph, and validation of contents. In this case, a watermark data is embedded into the actual multimedia content in such a way that it is long-lasting to the content itself. Later on, such watermark can be extracted to manifest ownership to pursue the distribution of the patent toil through the network. In this developed watermarking, predominantly concentrated on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Apart from this, it also prevents the copyright of virtual views which is generated by using a technique called Depth-Image-Based-Rendering. In this approach, secret data is inserted in the actual center vision using two mathematical transform, DWT and SVD. Then, multiple vision are automatically produced from the watermarked middle view and their corresponding profundity map at the content provider side. Finally watermark will be able to removed from all the three views in a sightless vogue without using the actual content of all the three views. In this proposed watermarking strategy is much better strong to image compression, noise addition and geometric distortion.
UR - https://www.scopus.com/pages/publications/85054101382
UR - https://www.scopus.com/pages/publications/85054101382#tab=citedBy
U2 - 10.1109/ICCCSP.2018.8452818
DO - 10.1109/ICCCSP.2018.8452818
M3 - Conference contribution
AN - SCOPUS:85054101382
SN - 9781538611418
T3 - 2nd International Conference on Computer, Communication, and Signal Processing: Special Focus on Technology and Innovation for Smart Environment, ICCCSP 2018
BT - 2nd International Conference on Computer, Communication, and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computer, Communication, and Signal Processing, ICCCSP 2018
Y2 - 22 February 2018 through 23 February 2018
ER -