A method for embedding and extracting hiding information of linear grating
A technology of hiding information and linear grating, applied in the field of image processing, can solve problems such as poor hiding effect of hidden information, and achieve the effect of improved concealment, excellent hiding performance and extraction performance.
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Embodiment 1
[0081] A method for embedding and extracting hidden information of linear gratings, see figure 1 , including the following steps:
[0082] Step 1. Select the host image;
[0083] see figure 1 , select the host image, the host image includes x×y pixels, color separation processing, get C, M, Y, K four channels;
[0084] Step 2. Select the host channel
[0085] Set the hidden condition, select the channel corresponding to the hidden condition as the host channel, the number of the host channel is 1, and the remaining 3 channels are regular channels;
[0086] When the host channel cannot be selected, go back to step 1 and select the host image again;
[0087] Hidden conditions include color value conditions and histogram conditions;
[0088] The selection of the host channel is to first filter the color value condition and then filter the histogram condition, including the following steps:
[0089] (1), analyze the color value
[0090] Described host image comprises x * y ...
Embodiment 2
[0124] see Figure 5-8 , on the basis of embodiment 1, the difference of embodiment 2 is:
[0125] (1), the host image is different; the host channel is M channel;
[0126] (2), the hidden information is different.
[0127] Further, the host channel halftone image in Example 2 is synthesized with three conventional channel halftone images to obtain a host image halftone image without embedded hidden information;
[0128] Using SSIM (Structural Similarity) algorithm and WSNR (Weighted Signal-to-Noise Ratio) to evaluate the similarity between the halftone image of the host image without embedded hidden information and the halftone image of the host image embedded with hidden information, so as to obtain indirectly The evaluation results of concealment of hidden information are shown in Table 2 below:
[0129] Table 2 Example 2 Concealment Evaluation Results
[0130]
[0131] Among them, in the evaluation methods in this field, the closer the value of SSIM is to 1 or the...
Embodiment 3
[0133] see Figures 9 to 12 , on the basis of embodiment 1, the difference of embodiment 3 is:
[0134] (1), the host image is different; the host channel is M channel;
[0135] (2), the hidden information is different.
[0136] Further, the host channel halftone image in Example 3 is synthesized with three conventional channel halftone images to obtain a host image halftone image without embedded hidden information;
[0137] Using SSIM (Structural Similarity) algorithm and WSNR (Weighted Signal-to-Noise Ratio) to evaluate the similarity between the halftone image of the host image without embedded hidden information and the halftone image of the host image embedded with hidden information, so as to obtain indirectly The evaluation results of concealment of hidden information are shown in Table 3 below:
[0138] Table 3 Example 3 Concealment Evaluation Results
[0139]
[0140] Among them, in the evaluation methods in this field, the closer the value of SSIM is to 1 o...
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