Comparative analysis of V-Net and U-Net++ for image steganography with emphasis on accuracy

With a greater degree of precision, the primary objective of this study is to investigate and evaluate picture steganography that is based on V-Nets for the purpose of performance analysis. The Components and Procedures: On the basis of the sample size V-Net (N=16) and U-Net++ (N=16), the various types of cover and original photos are gathered. After the image retrieval process is completed, the images were first encoded by utilising both of these approaches. Artificial Intelligence (AI) was used to analyse the retained photos for both groups, taking into consideration the accuracy and specificity of the parameter. The statistical analysis performed by SPSS yielded a significance level of 0.001 (p