Abstract. This stegaphography is the science that attempts to hide the secret information through the cover media. It considers the combination of various issues such as security, privacy etc. This paper interests in the video steganography method, where the image is hidden in a video file. The approach uses the intensity features together with the lifting multiple discrete wavelet transform. The approach contains two steps. First, we bring the secret image and cover video file to transform using lifting based multi-level wavelet transform. Then we find the positions with the similar values from both secret image and video. The key idea is the finding of the position with the "same" or "similar" coefficients. We embed the image coefficients in those frame positions. In the experiments, we explore the efficiency of the method using various wavelet transforms with random coefficient and similar coefficient selections. The experiments also consider the different payload image size in the video file. For all the results, the proposed approach with similar coefficients and lifting multilevel wavelet transform has a better PSNR for all the test cases.

We study the video steganography method in which the image is hidden in a video file. The method is based on the discrete wavelet transform. The video frames are transformed and then the proper positions of the coefficients are selected to hide the secret image pixels. The heuristic considers the coefficients that have the similar values to that of secret images. The similar values mean the same or the values that are closed to the cover media pixels. We compare this approach to the random coefficient selection approach as well as the methods using the discrete wavelet transform. Different payloads are also considered to study the effect of secrete image size to the cover video. The results shows that the lifting multiple wavelet transform with similar coefficients yields the best results for all the test case.

We study the steganography method which hides an image in the video. We transform the video and image the lifting multiple discrete wavelet transform [1]. The coefficients of both are compared and the proper position of the coefficients are selected to hide the secret image pixel. The heuristic considers the coefficients that have the similar values to that of secret images are used to hide. The experiments compare this approach to the random selection approach as well as the methods using discrete wavelet transform. Different payloads are also considered to study the effect of secrete image size to the cover video. The experiments show that the selecting the similar coefficients give better results than the random approach for such a wavelet transform.