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Reversible Steganography Using Improved Curvature Driven Diffusion Based Image Inpainting
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Reversible steganography is the science of recovering back the original image after the secret bits are extracted. In the proposed method we have divided the cover image in the form of equal number of reference pixel. By using improved curvature driven diffusion based inpainting process prediction image is obtained in which an image containg secret bit is embedded to generate the stego image. Since the same number of reference pixel is used during extraction procedure, same prediction image can be generated from stego image. After that cover image can be recovered back successfully after the image containing secret bits is extracted.
Keywords
CDD Curvature Driven Diffusion, SSIM Structure Similarity Index Matrix, PSNR Peak Signal to Noise Ratio.
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