EFFICIENT HEALTH DATA TRANSMISSION SYSTEM BASED ON STEGANOGRAPHY USING HYBRID DOMAIN TECHNIQUE

Abstract

The data embedding technique maintains the integrity of the original image while reducing the possibility that unauthorized parties may find the secret image. This paper proposes an Efficient Health Data Transmission System based on Steganography using the Hybrid Domain Technique. The cover and secret images are transformed into low (LL band)- and high-frequency coefficients (LH, HL, and HH) using the Discrete Wavelet Transform (DWT) transform. This allows compression and noise reduction by considering LL coefficients for adequate data concealment. The encoded data is compressed and secured using the Singular Value Decomposition (SVD) on the LL bands of cover and secret images. The stego key: singular values of cover S_c, α, and attention_weight are embedded into the HL of the cover image using the Least Significant Bits (LSB) technique to obtain HL_new. The IDWT is used to derive spatial domain stegoimage. The secret image is extracted from the stegoimage using the reverse embedding process at the destination. The experimental result shows good imperceptibility of stegoimage with a PSNR of 71.48 dB and better robustness with an SSIM of 0.9990 for the proposed steganographic scheme with 33.2% capacity.