A Novel Approach of Object Oriented Image Steganography Using LSB

摘要

Image Steganography involve hiding the secret image in the cover image in such a way that it cannot be detected easily. Hiding the secret image in the selective objects of the cover image is a novel approach that enhances the robustness and security. This paper describes, LSB (Least significant bit) steganography method applied only on certain selected skin tone objects of the cover image to embed the given secret image within. In the proposed work more than one cover image is used to enhance the protection of concealed information. For the skin tone detection of the cover image an alternate colour space YCbCr (Yellow, Chromatic Blue, and Chromatic red) is utilized. Embedding the secret image in the skin region of the cover image provide an excellent protective location for information hiding. Before, that Advance encryption standard technique is used to encrypt secret image which is to be embedded in the selected skin tone objects to have secure stego image. The neural network approach is applied to find the largest object among the selected skin tone objects. The performance parameters like Peak signal to noise ratio and hiding capacity are evaluated thereafter.