function optmapPKstego_I1emD_min = Embed1origin_ID_minCompressNoiseorigin_I表示原始图像D_min表示秘密数据stego_I表示载密图像emD_min表示已嵌入的数据num = lengthD_min; 统计秘密数据个数mn = sizeorigin_I;col=n;stego_I1=origin_I;re1=zeros;o

The function Embed1 takes three input parameters: origin_I (the original image), D_min (the secret data), and CompressNoise (the noise level). It returns five output parameters: opt (the optimal embedding parameters), map (the location map of the embedded points), PK (the peak values of the histograms), stego_I1 (the stego image), and emD_min (the embedded secret data).

The function starts by calculating the number of secret data points and the size of the original image. It also initializes the stego image as the same as the original image and creates an empty array to store the results of the embedding process.

Next, it generates 16 histograms based on the noise level of each pixel. Then, it calculates the peak values and the number of peak values for each histogram.

The function then uses the optimalmin function to determine the optimal embedding parameters for each histogram. The optimalmin function finds the minimum number of embedding points required to embed all the secret data points.

The LocationMapmin function is used to generate a location map of the embedding points based on the optimal embedding parameters.

Then, the function loops through each pixel of the original image to embed the secret data. It checks if the current pixel is an embedding point or not based on the optimal embedding parameters. If it is an embedding point, the function determines the value to be embedded based on the secret data and the current pixel's prediction error. If it is not an embedding point, the function keeps the pixel value unchanged.

Finally, the function returns the stego image, the embedded secret data, and other intermediate results.

Note: The code provided is incomplete and missing some parts. Please make sure to complete the missing parts before using the function