Conversion of 2D Stegano Images into a 3D Stereo Image Using RANSAC

A novel steganography method with maximum data hiding capacity using point feature matching is performed in our proposed method. 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 obtained by a simple process, here adjacent frames from an input video is taken. The individually obtained adjacent frames act similar to stereo inputs, further these input images are subjected to preprocessing for better stegano process are individually steganoed with a secret data (image). The 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) 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.