<title>Stereo watermarking scheme based on discrete wavelet transform and feature-based window matching algorithm</title>

Abstract

In this paper, a stereo image watermarking scheme using discrete wavelet transform (DWT) and feature-based window maching algorithm(FMA) is proposed. A watermark data is embedded into the right image of a stereo image pair by using the DWT algorithm and disparity data is extracted from the left and watermarked right images. And then, disparity data and the left image are transmitted to the recipient through the communication channel. At the receiver, the watermarked right image is reconstructed from the received left image and disparity data by employing the FMA. From the difference between the watermarked and original right images, the embedded watermark image can be finally extracted. From experiments using the stereo image pair of 'Friends' and a watermark data of '3DRC', it is found that PSNR of the watermark image extracted from the reconstructed right image through the FMA and DWT algorithms can be increased up to 2.87dB, 2.58dB on average by comparing with those of the FMA and DCT algorithm when the quantizer scale(Q.S) is kept to be 16 and 20, respectively.