An Authentication Technique in Frequency Domain through Wavelet Transform (ATFDWT)

TL;DR

This paper introduces ATFDWT, a DWT-based frequency domain steganography method that embeds secret data in the vertical orientation sub-image, demonstrating improved robustness and image quality over existing techniques.

Contribution

The paper presents a novel DWT-based steganography technique in the frequency domain, enhancing security and performance compared to prior methods like IAFDDFTT.

Findings

Better MSE, PSNR, SD, and IF metrics than existing techniques

Resistant to statistical and visual attacks

Effective embedding in vertical orientation sub-image

Abstract

In this paper a DWT based steganography in frequency domain, termed as ATFDWT has been proposed. Here, the cover image is transformed into the time domain signal through DWT, resulting four sub-image components as 'Low resolution', 'Horizontal orientation', 'Vertical orientation' and 'Diagonal orientation'. The secret message/image bits stream in varying positions are embedded in 'Vertical orientation sub-image' followed by reverse transformation to generate embedded/encrypted image. The decoding is done through the reverse procedure. The experimental results against statistical and visual attack has been computed and compared with the existing technique like IAFDDFTT[1], in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Standard Deviation(SD) and Image Fidelity(IF) analysis, which shows better performances in ATFDWT.