Theoretical analysis of information watermarking in wavelet-based video compression

Embedding audio bits into images for transmission of video data alleviates the synchronization problem common in video transmission techniques. We continue work combining audio or other data bits and images into one file using digital watermarking techniques to correct the synchronization problem. The work compresses the file by using wavelet image coefficients and implementing bit plane coding. Our work encompasses incorporating five free variables into the watermark/compression technique. These variables are watermark robustness, number of coding iterations, number of image coefficients, number of watermarked data bits, and number of watermarked error correcting bits. By altering these variables, four measurements of the output will change. The four measurements are the watermarked bit error rate, the image quality, the compression ratio, and the amount of watermarked data. We will theoretically demonstrate how the variables impact these measurements. Experimental results on real video data will support our theoretical findings. By analyzing each video frame, an automated system will be able to choose the optimal values of the five variables to meet the given user constraints for the measurements.