A latent image dot error diffusion setting method for improving imperceptibility
A technology of error diffusion and screen dots, applied in the field of image processing, can solve the problems that the visible and hidden grating cannot extract complete graphic information, contour distortion, large scale coefficient, etc.
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Embodiment 1
[0078] A latent image dot error diffusion setting method for improving imperceptibility, comprising the following steps:
[0079] step 1),
[0080] see figure 1 , input the target image (named "still life"), the target image includes x×y pixels, the subscript (x, y) represents the coordinates of the pixel, and the cyan, magenta, yellow and black channels of the target image are processed Color separation, color separation is to separate the cyan, magenta, yellow and black channels of the target image to obtain 4 256-level grayscale images, therefore, a total of 4 channels of cyan, magenta, yellow and black are obtained; select the cyan channel as an invisible channel;
[0081] Step (2),
[0082] Adopt amplitude modulation screening technology, set the generation method of screen dots as model method, screen processing to get the halftone image of 4 channels composed of screen dots; set screen screening parameters when digital screening, screen screening parameters include s...
Embodiment 2
[0124] Compared with Embodiment 1, the differences between Embodiment 2 and Embodiment 1 are: different target images (named "clock") and hidden information are used, and the invisible channel is a magenta channel; The model method refers to compressing the number of dot models in the model method according to the ratio to obtain another basic model. When the gray value is reduced or increased by one level, the corresponding basic model will have one more or one less recording point exposure, so that Express all tones in the target image, combined with Figure 5-8 It can be seen that the hidden information in Example 2 is completely invisible in the synthesized target image to be output, has very good imperceptibility, and can be clearly extracted by the test grating during recognition.
Embodiment 3
[0126] Compared with Embodiment 1, Embodiment 3 differs in that it uses a different target image (named "cake") and hidden information. combine Figures 9 to 12 It can be seen that the hidden information in Example 3 is also completely invisible in the synthesized target image to be output, has very good imperceptibility, and can be extracted very clearly by the test grating during recognition.
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