A key embedding method for improving the anti-forgery performance of an original image
An original image, anti-counterfeiting technology, applied in image data processing, image data processing, instruments, etc., can solve the problems of small information capacity, narrow application scope, low embedding rate, etc. , the effect of high embedding rate
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Embodiment 1
[0060] A key embedding method for improving the anti-forgery performance of the original image is provided in Embodiment 1, comprising the following steps:
[0061] (1), pretreatment
[0062] Preprocessing mainly includes: acquisition of basic information of the original image, color separation of the original image, discretization of the original image and selection of the key;
[0063] Specifically, see figure 1 , input the original image, the original image is a midtone image, the image size is 3cm*4cm, the size includes length and width, the unit is cm, the pixels of the original image are in the Y channel color separation image, the M channel color separation image, and the C channel The color values on the color separation image and the K channel color separation image are T Y(x,y) , T M(x,y) , T C(x,y) and T K(x,y) , where the subscript (x, y) represents the position of the pixel, T Y(x,y) =20~25%, T M(x,y) =30~40%, T C(x,y) =5~8%, T K(x,y) = 1~5%;
[0064] ...
Embodiment 2
[0085] A key embedding method for improving the anti-forgery performance of the original image is provided in Embodiment 2, including the following steps:
[0086] (1), pretreatment
[0087] Preprocessing mainly includes: acquisition of basic information of the original image, color separation of the original image, discretization of the original image and selection of the key;
[0088] Specifically, see Figure 5 , input the original image, the original image is a mid-tone image and has tone changes and texture features, the image size includes length and width, and the unit is cm, in this embodiment 2, the image size is 5cm*5m; adopt color mode conversion to the original The image is decomposed, that is, the RGB color space of the original image is converted into the CMYK color space, and four color separation images of the original image on the Y channel, M channel, C channel and K channel are obtained;
[0089] Use amplitude modulation screening for the 4 color separatio...
Embodiment 3
[0100] Embodiment 3 provides a key embedding method that improves the anti-forgery performance of the original image. Compared with Embodiment 1, the difference is that different original images and keys are selected. See Figure 9 , 10 , 11 and 12.
[0101] The present invention uses an objective evaluation algorithm to evaluate the anti-counterfeiting performance of all keys in Embodiments 1, 2 and 3. The anti-counterfeiting performance includes the imperceptibility of the human eye before detection and the clarity after detection. The present invention adopts WSNR (weighted signal noise ratio) and SSIM (structural similarity) to evaluate the imperceptibility of human eyes in matlab software, using the sharpness function F i and T i Evaluate the clarity after detection in matlab software (due to WSNR, SSIM, F i and T i The algorithm is known in the art, so the algorithm formula is omitted), the calculation results obtained are shown in Table 1 below:
[0102] Table 1 Ob...
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