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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

Inactive Publication Date: 2019-01-08
HEFEI TONGYOU ELECTRONICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the grating sheet will produce different viewing effects at different viewing angles, after it is overlaid on the dot matrix graphics, several shapes will be presented at different viewing angles based on the same dot matrix graphics, thus The style of dot matrix graphics is more variable, but the information capacity of the anti-counterfeiting mark is small, the embedding rate is low, and the scope of application is narrow

Method used

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  • A key embedding method for improving the anti-forgery performance of an original image
  • A key embedding method for improving the anti-forgery performance of an original image
  • A key embedding method for improving the anti-forgery performance of an original image

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Experimental program
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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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Abstract

The invention discloses a key embedding method for improving the anti-forgery performance of an original image, which relates to the technical field of image anti-forgery, the method comprising the following steps: (1) carrying out preprocessing; (2) setting a first key, a second key and a third key; embedding a first key and a second key in the second dot map and embedding a third key in the third dot map, wherein the first key is provided with two keys and is symmetrically arranged at the upper left corner and the upper right corner of the second dot graph, and the second key is provided with two keys symmetrically arranged at the lower left corner and the lower right corner of the second dot graph; (3) generating an anti-counterfeit image to be output. The multi-level keys are arranged,the information capacity of the key is large, the embedding rate is high, and at the same time, the multi-level encryption means and the detection means are used to improve the difficulty of forgeryprevention.

Description

technical field [0001] The invention belongs to the technical field of image anti-counterfeiting, and in particular relates to a key embedding method for improving the anti-counterfeiting performance of original images. Background technique [0002] With the development of the three major technologies of halftone digital screening technology, computer image processing technology and computer-to-plate technology, the new printing anti-counterfeiting technology based on halftone dot shape and spatial position distribution has also been highly recognized by printing industry professionals. Pay attention to and actively explore. For example, the digital watermark algorithm based on the spatial domain of point-to-point error diffusion digital screening technology researched by Professor Wan Xiaoxia of Wuhan University, this algorithm embeds digital watermark information in the process of digital image screening; The team of Professor Zhang Yixin from Jiangnan University mainly f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06F21/60
CPCG06T1/0021G06F21/602
Inventor 李丹丹
Owner HEFEI TONGYOU ELECTRONICS TECH CO LTD
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