An improved image steganography technique using edge based data hiding in DCT domain
Nadish Ayub, Arvind Selwal · Journal of Interdisciplinary Mathematics · 2020
Steganography is a type of secret communication which is used to hide the confidential information from the intruder. The security during information communication is a key concern which makes image steganography a popular technique. Image steganography techniques may be broadly classified into two domains i.e., spatial domain and frequency domain. This paper proposes an improved image steganography technique in which data is embedded in the edge pixels of the carrier image. An intruder has less suspicion about the existence of data bits in edges, because edge pixels appear to be different than their neighbours and thus ensures better security. The proposed technique uses different types of edge detection filters like Prewitt, Sobel, Laplacian and Canny in the existing image steganography using edge based data hiding in DCT domain algorithm. Furthermore, the proposed technique results in excellent performance with PSNR of 99% and SNR of 96%. However, the proposed steganography technique surprisingly results in reduction of image size mainly because of image compression.