An efficient steganography technique based on S2OA & DESAE model

This paper gives a novel and efficient steganography technique based on hybrid algorithms that improves the various important parameters like PSNR, MSE, IF, capacity, security. It increases the security of the confidential data by using the encryption
method and give improved quality of stego images with less error rate. This paper utilizes a grouping of wavelet domain & Salp Swarm based Optimization Algorithm (SSOA) and proposed embedding process for increasing the payload capacity. Initially,
the integer discrete wavelet transform is utilized to process the cover image and DWT to extract the hidden image accurately. Furthermore, an edge localization process is proposed to localize the edge region of detail bands efficiently, which can be done by SSO Algorithm. To enhance the quality of the stego pictures, a deep enhanced stacked auto encoder (DESAE) has been proposed. The evaluation result of this technique
achieves good image quality and high security. Also, it increases the payload capacity of the existing methods, which confirms the superiority of the proposed method compared to previous related technique