Digital watermark processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a digital watermark processing method and device, electronic equipment and a storage medium. The digital watermark processing method comprises the steps of obtaining a to-be-embedded image; extracting face regions of the to-be-embedded image and splicing to obtain a digital watermark image; segmenting the to-be-embedded image of the preset channel of the YCbCr color space into a plurality of first image blocks with preset sizes; and based on a jitter quantization index modulation algorithm, performing quantization embedding processing on the coefficient in the first image block by using the digital watermark image to obtain an image embedded with the digital watermark in the RGB color space. According to the invention, the QIM-DM algorithm and the digital watermarkimage are used for jointly carrying out quantitative embedding processing on the coefficient in the first image block to obtain the image embedded with the digital watermark; by adding the digital watermark image which is not easily perceived by a human vision system into the image to be embedded, malicious attacks of a deep counterfeiting technology on the image or a video file are defended, theeffectiveness of a final detection result can be improved, and the accuracy of the final detection result is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a digital watermark processing method, device, electronic equipment, and storage medium. Background technique [0002] Deep forgery refers to the use of technologies such as deep learning to synthesize or generate deceptive audio and video and other media content. Digital watermarking technology refers to embedding specific identification information into media files such as audio and video, but it does not affect the use value of the file and is not easy to be noticed. Digital watermarking can be used to verify the authenticity and integrity of documents, and has a wide range of applications in fields such as anti-counterfeiting traceability and copyright protection. [0003] With the continuous development of deep forgery technology, the cost of fake videos has become lower and lower, and the effect of fake videos has become better and better. The spread o...

AI Technical Summary

Problems solved by technology

[0004] At present, the existing fake face detection methods mainly focus on the detection of face biometrics and image resolution inconsistencies (image artifacts), but with the continuous development of deep forgery technology, the resolution of fake faces has been improved, forgery The details of fake faces such as eyes, eyebrows, mouth, teeth and even eyelashes are becoming more and more realistic, so the existing fake face detection methods gradually lose their effectiveness

In addition, the detection accuracy of the existing fake face detection methods is greatly affected by the model training data, data processing is time-consuming and labor-intensive, and the detection methods cannot effectively resist unintentional attacks such as noise and image compression that maintain sensory similarity. Poor, and cannot achieve high detection accuracy

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