Tamper detection with self-correction hybrid spatial-DCT domains image authentication technique

The development of effective image authentication techniques is of remarkably growing interest. Some recently developed fragile, semi-fragile/robust or hybrid-watermarking algorithms not only verify the authenticity of the watermarked image but also provide self-reconstruction capabilities. However, several algorithms have been reported as vulnerable to various attacks, especially blind pattern matching attacks with insufficient security. In this paper, we propose a new blind dual-domain self-embedding watermarking scheme with more secure embedding processes of the imagepsilas blocks fragile signatures and robust approximations and more reliable local alterations detection with auto-correction capabilities while surviving normal image content preserving operations.