Research On Image Lossless Information Hiding Algorithm

Internet plus has become the key supporting technology of the 21 st century, information security technology is the important guarantee of safe operation in Internet plus, and become the research focus in recent years.In this paper, the research works in digital image as the carrier, in order to improve the embedded information capacity and high fidelity for the main purpose of the image. Mainly studied the two algorithms, image lossless information hiding algorithm based on JPEG- LS and based on the adjacent pixels and different scanning path of image information hiding algorithm, this paper, the main work can be summarized as follows.Research and improve the image lossless information hiding algorithm based on JPEG- LS. The first to use JPEG- LS predict template for each pixel; then embedded information by using low t bits of secret information to replace the low t bits of prediction residual. Take a lot of testing to research the peak signal to noise ratio by changing the parameters and predict template values and the embedded capacity. The result shows that the improved algorithm will embedding more information than the original algorithm, and the peak signal to noise ratio will increasing almost10 d B than the original in embedding same information.Research and improve the image information hiding algorithm based on adjacent pixels and different scanning path of image. First, statistical difference of adjacent pixels histogram and displace the histogram based on the value of peaks; then embedding the secret information to the redundant space. Considering the limitations of single scanning path, nine different scanning paths are designed. Through a lot of tests, choice different scanning path had a great influence on secret images. To the same image, choice the optimal path, can be 9% increase in the number of peaks, choice the worst path, will cause a around 20% decrease in number of peaks. We can know that different scanning path had a great influence on the redundancy and sparse and the information hiding capacity.