Abstract
In this study, digital image steganography, a branch of steganography, and DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform), frequency-based steganography methods that are a sub-branch of it, are mentioned. Methods such as MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) which are performance calculation parameters of steganographic methods are explained and the methods of calculating image capacity like Kullback-Leibler Divergence, Jensen-Shannon Divergence and QTS (Quard Tree Segmentation) for increasing the values of these parameters are mentioned. This study explains the OPAP (Optimal Pixel Adjustment Process) method, which allows the existing capacity in the pictures to be further increased, in detail and provides an ideal steganography scenario. Additionally, this scenario has been tried and consequently reached the result that the images with higher data concealment capacity than QTS have higher PSNR values.
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