Wavelet Based Authentication/Secret Transmission Through Image Resizing(WASTIR)
This work addresses the need for improved steganography in image processing for applications like secure communication, though it appears incremental as it builds on existing wavelet-based techniques.
The paper tackles the problem of secure image transmission and authentication by proposing a wavelet-based steganographic technique called WASTIR, which embeds secret messages in cover images using quaternary conversion and hash functions, resulting in better performance metrics like lower MSE and higher PSNR compared to existing methods.
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.