Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method

A medical image, robust watermarking technology, applied in image data processing, image data processing, instruments and other directions, to achieve the effect of solving the problem of rapidity, strong resistance to geometric attacks, and improving security

Inactive Publication Date: 2013-02-27
HAINAN UNIVERSITY
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of this invention is to provide a medical image robust watermarking method based on DWT-DCT and Logistic Map, by combining the visual feature vector, encryption technology and The concept of the third party is organically combined without the need to select the region of interest, thus solving the problem of quickness of watermark embedding and extraction and the problem of capacity limitation. It has ideal robustness and invisibility, and effectively solves the problem of The digital watermarking problem of medical images solves the problem of resisting geometric attacks and resisting conventional attacks in medical image applications at the same time, so as to protect the confidentiality of patient information

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method
  • DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method
  • DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0119] The present invention will be further described below in conjunction with accompanying drawing, select a meaningful binary image as the original watermark, be marked as: W={w(i, j)|w(i, j)=0,1; 1≤i≤ M1, 1≤j≤M2}, see Figure 4(a), where the size of the watermark is 32×32. The watermark after chaotic scrambling through the Logistic Map is shown in Figure 4(b). It can be clearly seen that the watermark has changed a lot, and the security has been improved. At the same time, the original medical image used in the experiment is a three-dimensional image of the brain after CT scanning, and the tenth slice image of the medical volume data is selected, as shown in Figure 5(a). It is recorded as: F={f(i, j)|f(i, j)∈R; 1≤i≤N1, 1≤j≤N2}. The corresponding full-image DWT-DCT coefficient matrix is ​​FD(i, j), select 32 low-intermediate frequency coefficients Y(j), 1≤j≤L, the first value Y(1) represents the DC component of the image, and then by Arranged from low to high frequency. ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method, which belongs to the field of multimedia signal processing. The method comprises preprocessing of a watermark and embedding of the watermark, wherein the preprocessing of the watermark and embedding of the watermark comprise the following steps of: (1) obtaining an encryption matrix by using a Logistic Map; (2) obtaining an encrypted watermark; (3) performing DWT on an original image, performing DCT on an approximation sub-image and extracting the vector of a characteristic; (4) obtaining a corresponding two-valued logic sequence by using the characteristic vector and chaotically encrypted watermark, storing the two-valued sequence at a third party, and then extracting and reducing the watermark, wherein the extraction and the reduction of the watermark comprise the following steps of: (5) performing operation similar to the step (3) on an image to be tested to solve one characteristic vector; (6) extracting the encrypted watermark; (7) generating a two-valued encryption matrix by using the Logistic Map; and (8) solving the reduced watermark. According to the method, the secrecy of information of a patient can be protected.

Description

technical field [0001] The invention belongs to the field of multimedia signal processing, and relates to a medical image digital watermark technology based on wavelet transform (DWT), discrete cosine transform (DCT), chaos (Logistic Map) and image visual features, specifically a DWT-DCT and Logistic A method for robust watermarking of medical images by Map. Background technique [0002] In recent years, with the rapid development of computer science technology and multimedia communication technology, digital information management system has played an increasingly important role in the modern medical system. With the advancement of software and hardware conditions, especially the emergence of new equipment such as high-resolution computed tomography (CT) and magnetic resonance imaging (MRI) and advanced optical scanners, and the development of a series of related software, The effect of medical images has made a qualitative leap. With the promotion and application of the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T1/00
Inventor 李京兵杜文才刘瑶利周又玲
Owner HAINAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products