Color image steganography distortion function design method based on generative adversarial network
A color image and design method technology, applied in image data processing, image data processing, biological neural network models, etc.
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[0052] The invention is a design method of color image steganographic distortion function based on generation confrontation network. The specific embodiment of the present invention will be described below by taking embedding rate q=1.2bpp, and embedding by classical Syndrome-TrellisCode encoding as an example. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the scope of application of the present invention.
[0053] The development language is python, and the deep learning framework is tensorflow. The specific steps are as follows:
[0054] Step 1: Prepare training dataset. Get 40,000 color pictures from the image database. In order to adapt to the input size of the network, the center of the picture is cut into a picture with a size of 256*256.
[0055] Step 2: Build the network structure. The network is constructed as image 3 As shown, the color ca...
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