Image steganography algorithm using "controversial" pixels in RGB (Red, Green, Blue) color space

Abstract

The invention discloses an image steganography algorithm using "controversial" pixels in a RGB (Red, Green, Blue) color space, comprising the following steps: respectively extracting three color channels of red, green and blue of a color image in the RGB color space; using the steganography algorithm for respectively perform information embedding on the three color channels of red, green and blueto respectively obtain information embedding positions; formulating a "controversy" rule, giving the pixel points with different degrees of controversy different weights; performing grey scale processing on the color image to obtain a grayscale image, calculating the embedding loss values of each pixel in the grayscale image to obtain an initial grayscale loss value; using a mean filter to smooththe grayscale image loss value; selecting STC encoding to embed the secret information in the carrier image according to the grayscale image loss value to obtain a steganographic image. The algorithmimproves the anti-steganography analysis performance, thereby realizing the secure transmission of secret information in the image.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to an image steganography algorithm using "controversial" pixels in RGB color space. Background technique [0002] Steganography can be commonly understood as the "prisoner's problem". The most important feature of steganography is undetectability. Its purpose is to enable both parties to communicate in a covert manner without being noticed by other users. Image steganography is an important branch of steganography. Digital images have the characteristics of high information redundancy and are ideal secret information carriers. [0003] Image adaptive steganography is mostly designed based on the design model of minimizing additive loss proposed by Filler et al. Similarly, steganography and steganalysis also promote each other in mutual constraints. Tomas Pevny et al. designed a highly undetectable (Highly Undetectable steGanOgraphy, HUGO) adaptive steganography algo...

AI Technical Summary

Problems solved by technology

Tomas Pevny et al. designed a highly undetectable (Highly Undetectable steGanOgraph, HUGO) adaptive steganography algorithm by using the characteristics of the neighborhood pixel difference matrix, which can effectively contain the SPAM steganalysis algorithm, but in the face of higher dimensional rich models When the (Spatial RichModel, SRM) feature detects the security of the algorithm, the security performance is greatly reduced

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