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Medical image robust zero-watermark method based on Bandelet-DCT (Discrete Cosine Transform)

A medical image and robust watermarking technology, applied in image watermarking, image data processing, image data processing, etc., can solve the problems of original image data modification, medical image loss, medical image protection, etc., to achieve good denoising ability, The effect of good image geometry features

Pending Publication Date: 2020-11-20
HAINAN UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

No matter from which aspect, any operation that may cause damage to medical images is not advisable
At present, robust watermarking technology is the main method to protect the copyright of digital content, but the traditional robust watermarking method cannot protect the medical image itself, and it is easy to cause defects in the modification of the original image data.

Method used

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  • Medical image robust zero-watermark method based on Bandelet-DCT (Discrete Cosine Transform)
  • Medical image robust zero-watermark method based on Bandelet-DCT (Discrete Cosine Transform)
  • Medical image robust zero-watermark method based on Bandelet-DCT (Discrete Cosine Transform)

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Embodiment Construction

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0066] The present invention provides a robust zero watermarking method based on Bandelet-DCT medical images, such as figure 1 shown, including the following steps:

[0067] S101. Perform Bandelet-DCT transformation on the original medical image to obtain the coefficient feature matrix of the original medical image, and use the hash function operation to generate the feature binary sequence (ie, the visual feature vector) of the original medical image;

[006...

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Abstract

The invention discloses a medical image robust zero-watermarking method based on Bandlet-DCT, and the method comprises the steps: carrying out the Bandlet-DCT of an original medical image, obtaining acoefficient feature matrix, and generating a feature binary sequence through Hash function operation; carrying out chaos scrambling encryption on the original watermark to obtain a chaos scrambling watermark, embedding watermark information into the original medical image, and acquiring and storing a binary logic key sequence in a third party; similarly, generating a feature binary sequence of the to-be-detected medical image; extracting an encrypted watermark according to the characteristic binary sequence and the binary logic key sequence, and decrypting the encrypted watermark to obtain areduced watermark; and performing normalization correlation coefficient calculation on the original watermark and the reduced watermark, and determining the ownership of the medical image to be testedand the embedded watermark information. The method has good robustness and invisibility in geometric attack resistance and conventional attack resistance, and can protect the privacy information of apatient and the data security of a medical image at the same time.

Description

technical field [0001] The invention relates to the field of multimedia signal processing, in particular to a robust zero-watermark method for medical images based on Bandelet-DCT. Background technique [0002] With the rapid development of information technology, intelligent medicine and remote diagnosis technology are becoming more and more mature, and medical diagnosis has begun to be active in the "cloud". Name, gender, age, diagnosis report, medical diagnosis chart and other information containing patient privacy) will be disseminated and exchanged through the network, and it will be more convenient and convenient in the future, but what follows is the randomness of information Tampering, leaking, copying and other issues, behind these issues are a series of deep concerns about information security, copyright issues, and privacy leaks. Moreover, medical image data has its unique characteristics. Medical images are an important source of information for medical personne...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06F21/60
CPCG06T1/005G06F21/602G06T2201/005G06F2221/2107
Inventor 李京兵方阳修陈延伟
Owner HAINAN UNIVERSITY
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