Abstract: In this paper, we are developing a new approach towards video watermarking which resulting better robustness, data security and higher embedding capacity. We propose an imperceptible and robust video watermarking algorithm based on discrete wavelet transform (DWT) and principal component analysis (PCA).DWT is more computationally efiicient than other transform methods like DFT and DCT. Due to its excellent spatio-frequency localization properties, the DWT is very suitable to identify areas in the host video frame where a watermark can be embedded imperceptible. It is known that even after the decomposition of the video frame using the wavelet transformation there exist some amount of correlation between the wavelet coefficients. PCA is basically used to hybridize the algorithm as it has the inherent property of removing the correlation amongst the data i.e. the wavelet coefficients and it helps in distributing the watermark bits over the sub-band used for embedding thus resulting in robust watermarking scheme that is resistant to almost all possible attacks. The watermark is embedded into the luminance component of the extracted frame as it is less sensitive to the human visual system.
Keywords: Digital video; binary watermark; Discrete Wavelet Transform; Principal Component Analysis.
Title: Invisible Video Watermarking For Secure Transmission Using DWT and PCA
Author: Sneha smita Sahoo, Supriya Sonone, Priyanka Yeole, Prof. S.T. Khot
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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