Digital Video Watermarking Using Modified LSB and DCT Technique

2020

1,2Dept. of Electronics & Telecommunication, CCEM, Raipur, C.G., India ------------------------------------------------------------------------***------------------------------------------------------------------------Abstract: The illegal distribution of a digital movie is a common and significant threat to the film industry. With the advent of high-speed broadband Internet access, a pirated copy of a digital video can now be easily distributed to a global audience. A possible means of limiting this type of digital theft is digital video watermarking whereby additional information, called a watermark, is embedded in the host video. This watermark can be extracted at the decoder and used to determine whether the video content is watermarked. This paper presents a review of digital video watermarking techniques in which their applications, challenges and important properties are discussed, and categorizes them based on the domain in which they embed the watermark. It then provides an...

—Proposed technique is based on dwt, dct, fft, and svd. First video is converted into frames. Apply DWT on each frame that will convert it into four sub-band frequency ranges as LL, LH, HL, and HH. Apply again DWT on LL sub-band then it will divide as LL1, LH1, HL1, and HH1 sub band of LL band. After applying DWT at 2-level, apply SVD in LL1 Sub-band, DCT in LH1 and FFT in HH1 sub-band of LL band. Same process will be applied on watermark symbol/image. Embed both host frame and watermark image with some scaling factor 'α'. For watermarked video arrange all the decomposed matrices using inverse technique. Watermarked video will be generated. To proof of ownership watermarking extraction process would be follow. And for proofing robustness and security level of this watermarked technique watermarked video will be compared with original video. And NCC, PSNR, BER value would be calculated. I. INTRODUCTION Internet has become indispensible and thus the security and the privacy issue have come to the fore of the computing fraternity. These issues need to be addressed with utmost urgency and highest level of dedication. Watermarking addresses the privacy and security issues. Watermarking has helped not just in security but also in resolving numerous copyright and privacy issues, which became one of the most contentious issues while the expansion of internet. This proposal explores the state of art introduces a novel technique to tackle the elephant in the room. Watermarking techniques can be segregated on the basis of domain based, document based, Perception based and application based. Domain of watermarking technique is divided in to two parts such as on the basis of spatial domain and other is on the basis of frequency domain. In spatial domain watermarking, watermark is embedded by modifying the pixels value of the host image/ video directly. The main advantages of pixel based methods are that they are conceptually simple and have very low computational complexities and therefore are widely used in video watermarking where real-time performance is a primary concern. However, they also exhibit some major limitations. The need for absolute spatial synchronization leads to high susceptibility to de-synchronization attacks; lack of consideration of the temporal axis results in vulnerability to video processing and multiple frame collusion; and watermark optimization is difficult using only spatial analysis techniques. In frequency domain, the watermark is embedded for the robustness of the watermarking mechanism. There are three main methods of data transmission in frequency domain. as DCT DFT and DWT. The main strength offered by transforming domain techniques is that they can take advantage of special properties of alternate domains to address the limitations of pixel-based methods or to support additional features. Generally, transform domain methods require higher computational time. In transform domain technique, the watermark is embedded distributive in overall domain of an original data. Host video is first converted into frequency domain by transformation techniques. The transformed domain coefficients are then altered to store the watermark information. The inverse transform is finally applied in order to obtain the watermarked video. On the basis of document watermarking can be apply on Image, Text, Audio and Video. According to the human perception watermarking is divided in to two parts visible watermark media and invisible watermark media. Invisible watermark is further are of two types robust watermarking and fragile watermarking. For effective watermarking the watermarking techniques need to be imperceptible (watermark should not degrade the quality of multimedia), robust (after applying attacks quality of multimedia should not be degrade), and secure from various attacks. In Most of the watermarking techniques, the watermark is embedded into the frequency domain instead of the spatial domain for the robustness of the watermarking mechanism. Discrete Cosine Transformation (DCT), Discrete Fourier Transformation (DFT) and Discrete Wavelet Transformation (DWT) are the three main methods of data transformation in this domain. The main strength offered by transforming domain techniques is that they can take advantage of special properties of alternate domains to address the limitations of pixel-based methods or to support additional features.

Indonesian Journal of Electrical Engineering and Computer Science, 2021

Digital video watermarking is an effective way to protect the ownership of the multimedia contents. A novel compressed domain based digital video watermarking algorithm scheme is proposed by exploiting MPEG-2 structure. Watermark bits are embedded in DC and AC coefficients both of only smooth discrete cosine transform (DCT) blocks from selected I-frames in the original digital video. The algorithms never exploited entire frames but explore only three location from the subset of DCT blocks from the subgroup of I-frames only. This process maintains the perceptibility of the watermarked video. Two parameters, normalized correlation (NC) and bit error rate (BER) are used to evaluate the degree of similarity and dissimilarity respectively to check the robustness against image processing and video specific intentional and non-intentional attacks. The security of embedded watermark is enhanced by applying three cryptographic keys. The experimental results demonstrated that the better robustness and perceptibility achieved by comparing the results with the state of art.

Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications, 2011

Considering the importance of watermarking of compressed video, several watermarking methods have been proposed for authentication, copyrights protection or simply for a secure data carrying through the Internet. Applied to the H.264/AVC video standard, in most of cases, these methods are based on the use of the quantized DCT coefficients often experimentally or randomly selected. In this paper, we introduce a watermarking method based on the DCT coefficients using two steps: the first one consists in a watermark pre-processing based on similarity measurement which can allow to adapt the best the watermark to the carrying coefficients of low frequencies. A second step takes advantage from the coefficients of high frequencies in order to maintain the video quality and reduce the bitrate. Results show that it is possible to achieve a very good compromise between video quality, embedding capacity and bitrate.