The use of watermarking to multiplex stereo image

Abstract

Vision is the sum of images seen by the eyes in three dimensional ways. Any image has a specific size in the memory of the system; the latter could be compressed or decompressed using several methods. The first part of this project consists of finding the best compression technique. The Discrete Cosine Transform (DCT), the Discrete Wavelet Transform (DWT) and the disparity using block matching are the image compression methods that will be exploited. A comparison of the results obtained by the application of the mentioned techniques proved that the disparity using block matching outperforms the Discrete Cosine Transform and the Discrete Wavelet Transform as the best compression technique. In the second part of the project, the watermarking of images will be presented. Any image could be hidden by the phenomenon of watermarking. The Discrete Wavelet Transform (DWT), the Least Significant Bit (LSB) along with the Hamming code and the Code Division Multiple Access (CDMA) are the watermarking techniques applied. Since the Least Significant Bit has a high capacity of data addition, the redundancy of the Hamming code can be used for more robust results. The results of the compression and the watermarking techniques are demonstrated and the system is thoroughly analyzed.