Abstract: We are going to implement steganographic data hiding process in the converted 3D image. Even if a large growth has happened during last some years in this area of image conversion, the 3D content's availability is still remain less by that of the 2D counterpart. We consider the problem of estimating detailed 3D structure from a single still image of an unstructured environment. Here the introducing idea is to create 3D models which are accurate quantitatively and also visually pleasing. To address the existing limitation, many image conversion methods have been proposed. The conversion by global nearest neighbor method is one of the effective way for 2D to 3D conversion. Here this method is used for the conversion process. The results demonstrate that repositories of 3D content can be used for effective 2D to 3D image conversion. We can also hide the data in 3D image by using steganographic data hiding process. So as to gain more security and efficiency than usual 2D image data hiding, Steganography is one of the efficient methods for securely hiding the data . It is a type of secret communication and security system used in hiding secret data inside digital mediums. An extension to video can be implemented by temporal continuity of computed depth maps.
Keywords: 3D Image, Image Conversion, Stereoscopic Images, Nearest Neighbor Classification Method, Cross Bilateral Filtering, Steganography.