S.S. Singh

A Bit Level and Entropy based Blind Watermarking Scheme for Video Sequence using Random Frame Selection

video watermarking is the enabling technology to prove ownership of copyrighted material, to solve the problem of piracy and to detect the originator of illegally made copies. In this paper, to solve the authentication problem an effective, imperceptible and secure blind video watermarking algorithm is proposed which uses an encryption key to select the random frames of video in which watermark information is embedded uniformly throughout the video. To keep the algorithm imperceptible only few blocks on the basis of higher entropy are selected and watermarked using LSB technique. The performance of algorithm is tested using MATLAB software on video of rhinos and watermark image of 512 X 512. The experimental results show that the proposed scheme is highly imperceptible, less time consuming, more secure and highly robust against frame dropping & other manipulations.

An Improved Image Steganography Technique using Quantized Range Table Pixel Value Differencing

is a way of hiding the information transmitting from sender to receiver and making the communication invisible. To enlarge the capacity of hidden secret information and to produce indistinguishable stego-image from original image with human eye, a new steganographic approach using improved pixel value differencing in a segment of four pixels and range table using perfect square number is proposed in this paper. The experimental results show that the proposed method is highly efficient in hiding the information and also the proposed scheme is secured against the RS detection attack. Besides, the embedded secret information can be extracted from stego-image without the assistance of original image.