Performance Analysis of Different Transform Methods for Image Steganography: A LabVIEW approach

Abstract

In this paper, we present a scheme for performance analysis of transform methods namely DCST, FDOST, BIOR2.2 and Haar for image steganography using LabVIEW approach with four stego keys with one, two, three and four LSB bits to embed person details in person image (Online e-filing application form). In this work, hidden text message containing the personal details with different payload (1kbyte to 4kbytes) converted into binary, and then the binary hidden message is embedded into the cover image to obtain stego image. The stego image is transformed using DCST, FDOST, bior2.2, and Haar to produce DCST, FDOST, bior2.2 and Haar coefficients. The hidden message using different keys with the original image is retrieved by applying four different inverse transform methods. LabVIEW programming tools are used for the development of scheme presented and execution of the graphical code for simulation. Finally, the performance of the four methods is analyzed using image quality metrics PSNR and MSE with and without steganography.