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

Color image steganography method and system based on pixel vector

A color image and pixel technology, applied in the field of information security, can solve the problem of poor steganographic security of color images

Active Publication Date: 2021-05-18
SHENZHEN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a color image steganography method and system based on pixel vectors in view of the above-mentioned defects of the prior art, aiming at solving the relatively poor security of color image steganography in the prior art. question

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
  • Color image steganography method and system based on pixel vector
  • Color image steganography method and system based on pixel vector
  • Color image steganography method and system based on pixel vector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] In the prior art, most digital image steganography algorithms are designed based on the minimum distortion model. The existing digital image steganography algorithm is mainly designed for grayscale images. When extending to color images, the secret information is generally divided into several parts according to the image layer, and then each image layer is regarded as an independent grayscale image, respectively. Embed each piece of secret information into each layer. Its optimization problem is as follows:

[0055]

[0056]

[0057]

[0058]Among them, D represents distortion, min represents the minimum operation, ∑ represents the sum operation, π represents the modification probability; ρ represents the modification cost; ∈ represents belonging, I represents the length of the image, the superscript (q) represents the pixel number, and the subscript G , R and B represent layers, usually divided into three layers: G (Gree, green), R (Red, red) and B (Blue, bl...

Embodiment 2

[0162] In the existing technology, the CMD (clustering modification directions) strategy divides the image into non-overlapping sub-images, divides the secret information into corresponding parts, and then adjusts the modification cost according to the predefined embedding order, and embeds each piece of secret information into different subimages. The principle of adjusting the modification cost is to make adjacent pixels modify in the same direction.

[0163] In Embodiment 1, the RGB method is used to divide the color image into three layers. The difference from Embodiment 1 is that Embodiment 2 divides the color image into non-overlapping sub-images.

[0164] Such as Figure 3-Figure 5 Shown, a kind of color image steganography method based on color pixel vector CMD of the present invention comprises the following steps:

[0165]Step S10, split the color image into several sub-images, and split the secret information into several corresponding sub-information.

[0166] S...

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 discloses a color image steganography method based on pixel vectors and a system thereof. The color image steganography method based on pixel vectors comprises the steps of: calculating and modifying CPV cost through color pixel vectors of color images; decomposing and modifying CPV cost and The secret information is adaptively embedded into each layer of the color image to obtain a secret-carrying layer; according to each secret-carrying layer, a secret-carrying image is output. Since the modification cost is directly calculated using the color pixel vector, the secret information is adaptively distributed to each layer according to the modification cost, instead of being evenly distributed. The relationship between layers is considered, and it is more resistant to the detection of steganalysis, especially resistant to color Detection of steganographic features.

Description

technical field [0001] The invention belongs to the field of information security and relates to the field of steganographic technology, in particular to a color image steganographic method and system based on pixel vectors. Background technique [0002] Modern steganography (Steganography) is a technical means of embedding information into digital media, such as images, audio, video, etc., to achieve secret communication. [0003] In the prior art, when color image (Color image, CI) is steganographically, each color image layer (Color channel, CC) is generally treated as an independent gray-scale image (Gray-scale image, GI), and the The secret information of is evenly segmented and embedded into each image layer respectively. Its security is relatively poor, and it is relatively easy to be detected by steganalysis tools. [0004] Therefore, the prior art still needs to be improved and developed. Contents of the invention [0005] The technical problem to be solved by ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/467
Inventor 秦兴红李斌
Owner SHENZHEN UNIV
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