Self Authentication of image through Daubechies Transform technique (SADT)

TL;DR

This paper introduces SADT, a novel image authentication method using Daubechies transform to embed secret data in frequency subbands, demonstrating improved performance over existing techniques.

Contribution

The paper proposes a new Daubechies transform-based authentication technique, SADT, which enhances image security and performance compared to prior methods.

Findings

Better MSE, PSNR, and IF metrics than existing methods

Effective embedding of secret data in frequency domain

Improved image authentication performance

Abstract

In this paper a 4 x 4 Daubechies transform based authentication technique termed as SADT has been proposed to authenticate gray scale images. The cover image is transformed into the frequency domain using 4 x 4 mask in a row major order using Daubechies transform technique, resulting four frequency subbands AF, HF, VF and DF. One byte of every band in a mask is embedding with two or four bits of secret information. Experimental results are computed and compared with the existing authentication techniques like Li s method [5], SCDFT [6], Region-Based method [7] and other similar techniques based on Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Fidelity (IF), which shows better performance in SADT.