Analysis of various image-based steganography techniques using different images
Abhijit S. Mali, Manoj M. Dongre · International Journal of Industrial and Systems Engineering · 2025
A detailed survey is elaborated in this paper for classification of optimisation algorithms utilised for image steganography. The reviews are gathered from 50 research papers and methodologies are classified depending on algorithms like cryptography, deep model, LSB, transform, edge detector, sparse, patch and quantum-based algorithms. The analysis is performed using the classification algorithms, evaluation metrics, tool, dataset used, and publication year. From analysis, it is proven that LSB is the category of algorithm is the widely used algorithm for image steganography. Similarly, MATLAB is the most frequently used implementation tool in most of the research papers, and the evaluation metrics, like PSNR, SSIM, and MSE are widely employed in classification algorithms. The research papers that are mostly taken for this survey are in 2020.