A novel pattern-based reversible data hiding technique for video steganography

Abstract This paper explains a novel pattern based color video data hiding technique based on moving regions detection. In the proposed system first the video gets separated into frames, and Discrete Cosine Transform (DCT) compression is applied for every frame. Then, moving objects in the frames are detected and the image is separated into Red, Green, Blue (RGB) channel 2×3 pixel blocks. Further, Euclidean Distance (ED) is used to pair the left over moving pixels into blocks. Based on the hiding capacity of block in each channel, pattern based data hiding process in each channel is implemented. Applying same data hiding methods on all the three channels may affect the quality of the stego image. This can be solved by varying the different data hiding techniques applied on each channels. The proposed Reversible Data Hiding Interpolation with Pixel Value Differencing (RDHI+PVD) method hides the data into the up-scaled image by considering the weights between the pixels. In first channel and second channel, proposed RDHI+PVD and in third channel, only LSB data hiding is applied. Experimental results reveals that the average PSNR, average capacity, RS and PVD histogram analysis attacks obtained on the proposed method performs better than other state-of-the-art techniques.