Implementation of SLT-DCT Steganography Method on Images to Improve the Quality of Steganography Images

The study explores the implementation of a hybrid Slantlet Transform (SLT) and Discrete Cosine Transform (DCT) in the context of image steganography, focusing on enhancing the quality of stego images while maintaining a high level of imperceptibility. One of the main challenges in steganography is embedding secret messages into images without compromising their visual quality. In this research, the combination of SLT and DCT is applied to embed secret messages into cover images, with the hope that this method can preserve visual quality. The quality of the stego images is evaluated using two main metrics: Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). PSNR is used as a measure to assess how well the steganographic image maintains high visual quality, while MSE serves to measure the difference between the original and stego images. Experimental results show that the hybrid SLT-DCT method significantly produces higher PSNR values compared to the individual implementation of SLT or DCT. This indicates that the combination of these two methods not only ensures better image quality but also enhances the security of the embedded message. Thus, this approach makes a significant contribution to the development of more efficient and effective steganography techniques, offering a solution that meets the need for high visualization while maintaining the integrity of the hidden data. The success of this method paves the way for further research in the field of steganography to explore other transformation combinations that can improve the results obtained.