Conversion of 2D stegano images into a 3D stereo iniage using RANSAC

In this paper we proposed a steganography with maximum data hiding capacity. In order to increase data hiding, 2D Anaglyphic stereography images are used for this process. The 2D Anaglyphic stereo input images of different colours and coloured filters in front of each eye allows only the appropriate image to pass. Some international standards body has decided that the right eye filter should be blue, while the left eye filter is red, but this can vary. In our process these input images are individually processed, further these input images are individually stegano with a secret data (image). Time data hiding process is obtained by a simple method of stegano algorithm called LSB (Least Significant bit), here LSB bit of our cover image is replaced by a secret data. Later this individual stereo images with secret data is applied to Stabilization Using Point Feature Matching, this stabilization algorithm involves two steps. First, we determine the affine image transformations between all neighbouring frames of a video sequence using a Random Sampling and Consensus (RANSAC) [1] procedure applied to point correspondences between two images. Second, we warp the embedded 2D Anaglyphic steganoed images to achieve a stabilized 3D stereo image with high data hiding capability, which contains two secret data in a single 3D stereo image.