A recoverable watermarking for authentication using Singular Value Decomposition

Abstract

In this paper, we propose a new method for authentication, and recoverability of digital images using Singular Value Decomposition. Using this technique, we can detect any modification made to the image and indicate the specific locations where the modification was made. The new method is recoverable in the sense that, if the image is deemed authentic, the distortion on the extraction procedure can be removed to obtain the original image data. Authentication data is produced from XOR operation between watermark image and binary bits obtained from singular value of one block image. If the unmodified watermarked image is used, the extraction process will return the correct watermark signal and exact original image. The techniques provide new assurance tools for integrity protection of sensitive imagery such as medical images.

Secure most significant bit plane compression based reversible data hiding in encrypted image technique using Huffman Ciphersystem

“…Yoo et al 32 first proposed RDH using singular value decomposition (SVD), a method of linear algebra that decomposes a matrix into a set of linearly independent components, each with its energy contribution. SVD has properties applicable to images, such as algebraic and structural characteristics.…”