Video Steganography for Hiding Image with Wavelet Coefficients

Abstract

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.

Untitled

“…Other domains can be used for embedding such as frequency domain in order to increase security and noise immunity [14]. Recent papers use signal transformation such as Discrete Wavelet Transform (DWT) on video cover to exploit redundancy and conceal data Chantrapornchai et al [4] and Euphrasi and Rani [8] proposed a video steganography that hides an image using lifted multilevel wavelet transform. A wavelet transform is applied on the video sequence and secret image.…”