Year: 2025
Type: article
Abstract: Steganography is the method of obfuscating the fact that a message is being delivered by enclosing it within non-secret cover media, such as pictures, audio videos, or text files.Steganography seeks to make the sheer existence of communication challenging to discover, in contrast to cryptography, which scrambles the contents of a message to make it unreadable.This research presents a model technique to hide and retrieve message data within RGB images without losing the original data.The mapping technique is used to conceal the secret message by using PYTHON.A message of different sizes is generated using a random number generator, and different image resolutions are used as cover images, such as 256x256, 512x512, and 1024x1024.The results show the best PSNR, which is 48.90, 56.31, and 62.45 dB, respectively.The MSE and SSIM are 0.815, 0.152, 0.036, and 0.998, 0.999, 0.999 respectively.
Authors: Kanza Fatima, Nan-I Wu, Chi-Shiang Chan, Min-Shiang Hwang
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,078
OpenAlex ID: W4412406754