Abstract
Abstract—An error image of Lossy Wavelet Transform differentiates a typical cover image from its wavelet transformed cover image which is resulted from applying a desired image compression factor (ICF) to the respective cover image. The proposed method uses such error images for finding where and to what extent a target pixel in a cover image must hold secret bits. The method is also able to embed maximal embedding rates on gray-scale cover images, up to four bits per pixel (bpp), preserving a human vision-imperceptible PSNR value and less detectability. The detectability level is shown by Ensemble classifiers using second order SPAM as their input features. Additionally, the method embeds minimal rates, up to one bpp, while being roughly as undetectable as state-of-the-art schemes such as HUGO (highly undetectable stego) and EA (edge adaptive).
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