Image Authentication Technique in Frequency Domain based on Discrete Fourier Transformation (IATFDDFT)

TL;DR

This paper introduces a new image authentication method using Discrete Fourier Transform to embed large data volumes into images, enhancing security and robustness over existing frequency domain techniques.

Contribution

The paper proposes a novel DFT-based embedding technique for image authentication that improves data capacity and robustness compared to prior DCT, QFT, and SCDFT methods.

Findings

Performs better than DCT, QFT, and SCDFT schemes.

Capable of embedding large data volumes securely.

Maintains image quality and robustness in authentication.

Abstract

In this paper a novel data embedding technique in frequency domain has been proposed using Discrete Fourier Transform (DFT) for image authentication and secured message transmission based on hiding a large volume of data into gray images. Image authentication is done by embedding message or image in frequency domain by choosing image blocks of size 2 x 2, called mask, from the source image in row major order and transform it into the frequency domain using DFT. Three bits of authenticating message/image/message-digest are fabricated within the real parts of each source image byte except first frequency component of each mask. The dimension of authenticating image followed by message digest (MD) and the content of authenticating message/image are also embedded. Inverse DFT (IDFT) is performed on embedded data to transform embedded frequency component to spatial component. In order to keep the quantum value positive and non negative in spatial domain a strong and robust technique is incorporated mainly on the first frequency component and sometimes on other component depends upon situations. The decoding is done by applying the reverse algorithm. Experimental results conform that the proposed algorithm performs better than DCT, QFT and SCDFT schemes.