IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. XII (Mar-Apr. 2014), PP 83-90 www.iosrjournals.org www.iosrjournals.org 83| Page A New DCT based Color Video Watermarking using Luminance Component Jaya Jeswani 1 , Dr. Tanuja Sarode 2 1 (Lecturer, Information Technology Department, Xavier Institute of Engineering, India) 2 (Associate Professor, Computer Engineering Department, Thadomal Shahani Engineering College, India) Abstract: This paper presents a new blind secure video watermarking algorithm using DCT (discrete cosine transform). In this proposed algorithm cover video is divided into frames and watermark is inserted into selected frames. For selected video frames two-dimensional 8×8 discrete cosine transform is carried out on luminance component. Finally binary watermark is embedded into mid frequency DC coefficients by adjusting coefficients DCT(4,3) and DCT(5,2). Experimental results shows that the proposed algorithm is imperceptible as well as robust against wide variety of signal and video processing attacks like Gaussian noise, Salt –pepper noise, Gaussian filter, Median filter, Histogram Equalization etc. The technique is fairly acceptable and watermarked video is of good quality, achieves high PSNR. The technique shows efficient extraction of watermark with NC value of the retrieved watermark as 1. Keywords: DCT (Discrete Cosine Transform), Luminance (Y component), MSE (Mean Square Error), Normalized Correlation (NC), PSNR (Peak Signal to Noise) I. Introduction Now a day’s people are highly dependent on network technology, the users of networks especially over the Internet are increasing enormously. The increased importance of digital content invites new challenges for securing the distribution of digital media. This copyright misuse is the motivating factor in developing new watermarking techniques. Watermarking [1-6] can be used for copyright protection. There is a need for video watermarking [1, 2] as most of the information on Internet these days is in the form of videos as well. Video watermarking is a technology in which there is embedding of various copyright information in video frames [3, 6, 7]. Digital watermarking algorithms are classified into frequency domain and spatial domain algorithms. Spatial domain algorithms embeds watermark by directly modifying pixels of carrier signal [8, 9] while Frequency domain algorithms embeds watermark by modifying frequency bands [10, 11]. Frequency domain watermarking is more secure and robust as compare to spatial domain watermarking. We are developing an algorithm for video watermarking in frequency domain using DCT which embeds binary watermark in video frames. Each bit of binary watermark is embedded into different 8×8 sized DCT block of Y (Luminance) channel of selected frame. Proposed method is blind and invisible as well as robust against variety of video processing attacks. In literature DCT transform has been successfully used for digital watermarking. In the proposed algorithm DCT is used for video watermarking in frequency domain. DCT divides carrier signal into low, middle, and high frequency bands [10]. DCT watermarking is classified into two types: Global DCT watermarking and Block-based DCT watermarking. In the Global DCT watermarking, the DCT computation is performed on the whole image, while in the Block-based DCT the image is divided into non-overlapping blocks and DCT computation is performed on each block separately to obtain low-frequency, mid-frequency and high-frequency sub-bands . J. R. Hemandez, M. Amado have proposed image watermarking in DCT domain [11]. Masoumi, M., Amiri, have Proposed video watermarking in YCbCr color space [12]. S. Feng, D. Lin, S. C. Shie and J. Y. Guo proposed a DCT-based technique they converted RGB space to YUV space and embedded watermark in Y component [15]. Jaya Jeswani and Tanuja Sarode have proposed a blind image watermarking using DCT in RGB color space by modifying middle frequency coefficients DCT(4,3) and DCT(5,2) [17]. The paper is organized as follows: Section 1 presents introduction. An introduction to DCT transform is given in section 2. Section 3 describes proposed algorithm with DCT coefficients selection, watermark embedding and extraction algorithms. Experimental results before and after applications of attacks are given in section 4. Finally conclusion of proposed algorithm is given in section 5.