Digital blind watermark making and extracting method

Abstract

The invention discloses a digital blind watermark making and extracting method. The method comprises the following steps that: S1, a single-color area in a picture is acquired, and if the picture contains a pure single-color area, the single-color area is directly recorded, if the picture only contains an approximate single-color area, and color fine adjustment is performed on the approximate single-color area to generate a single-color area; and S2, the found single-color area is divided into grids of N rows and M columns, the pixel of each grid is a * a, the channel color value of -2 or + 2 of the single-color area form hidden information of multiple binary numbers, wherein -2 represents the binary system 0, and + 2 represents the binary system 1. The method is simple and clear, and meanwhile, hidden information damage caused by partial post-processing of the picture is resisted to a certain extent.

Description

Technical field [0001] The present invention relates to a digital watermarking and blind extraction. Background technique [0002] There are currently a variety of digital blind watermark implementation, the frequency-domain transform, transform shape, color transform LSB, Patchwork method, and the like based on neural network algorithms. [0003] Digital Watermark technology on a variety of frequency domain transform existing, robust algorithm based on neural network is relatively high, after image processing such as blurring processing, scaling processing, adjust image brightness, contrast, etc., are restore to a certain extent, the hidden information carried by pictures, but the above two methods, to achieve more complex technology. [0004] LSB achieve color transformation technique is simple and intuitive, but this blind watermarking robustness poor, almost any modifications to the image, such as zooming, adjusting the image brightness, blur and the like, will lead to the or...

AI Technical Summary

Problems solved by technology

[0003] As far as various digital blind watermarking technologies currently exist, frequency domain transformation methods and algorithms based on neural networks are relatively more robust. After processing pictures, such as blurring, zooming, adjusting picture brightness, contrast, etc. It can restore the hidden information carried by the picture to a certain extent, but the above two methods are relatively complicated to implement

[0004] The color LSB transformation method is simple and intuitive to implement, but the robustness of this blind watermarking technology is too poor. Almost any modification to the image, such as zooming, adjusting the brightness of the image, blurring, etc., will cause the hidden information in the original image to be irreversible.

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