Wavelet Based Authentication/Secret Transmission Through Image Resizing(WASTIR)

TL;DR

This paper introduces WASTIR, a wavelet-based steganographic method that embeds secret images into cover images using frequency domain techniques and radix conversion, demonstrating improved performance over existing methods.

Contribution

The paper presents a novel wavelet-based steganography technique, WASTIR, utilizing radix conversion and hash functions for secure secret image transmission and authentication.

Findings

WASTIR outperforms existing steganographic methods in MSE, PSNR, and IF.

Experimental results confirm the effectiveness of the proposed technique.

WASTIR provides better image fidelity and security in secret transmission.

Abstract

The paper is aimed for a wavelet based steganographic or watermarking technique in frequency domain termed as WASTIR for secret message or image transmission or image authentication. Number system conversion of the secret image by changing radix form decimal to quaternary is the pre-processing of the technique. Cover image scaling through inverse discrete wavelet transformation with false Horizontal and vertical coefficients are embedded with quaternary digits through hash function and a secret key. Experimental results are computed and compared with the existing steganographic techniques like WTSIC, Yuancheng Lis Method and Region-Based in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Fidelity (IF) which show better performances in WASTIR.