Adaptive color image steganography method based on fuzzy inference system

Abstract

The invention discloses an adaptive color image steganography method based on a fuzzy inference system, which comprises the following steps: step 1, separating color channels of a color carrier image,and extracting features of each color channel of the carrier image; 2, determining a membership function, giving a fuzzy rule, taking the features extracted in the step 1 as input, obtaining a fuzzyoutput through a fuzzifier and a fuzzy inference engine, and obtaining a clear output value through a defuzzifier; and step 3, judging each pixel type, estimating the embedding capacity of each pixeltype according to the complexity of the color channel, encrypting information to be hidden, adaptively embedding secret information with different digits for different pixel types by utilizing an LSBalgorithm, and combining image color channels to obtain a secret-loaded image. According to the method, the color space complexity of the color image is fully considered, different capacities are adaptively embedded according to the texture complexity and visual characteristics of the image, and the image embedding capacity, imperceptibility and secret information security can be improved.

Description

technical field [0001] The invention belongs to the technical field of image information hiding, in particular to an adaptive color image steganography method based on a fuzzy reasoning system. Background technique [0002] With the continuous development of information technology, the issue of information security has become increasingly prominent. In recent years, information hiding technology has become one of the research focuses of information security. Due to the large amount of data and strong redundancy of digital images, the image steganography technology based on digital images is a research hotspot at present. At present, according to the different embedding domains of image steganography, it can be divided into two types: spatial domain steganography [28, 24] and transformation domain steganography [26, 27]; It can be divided into two categories: non-adaptive steganography [25] and adaptive steganography [13, 14, 15]. The adaptive image steganography algorithm...

AI Technical Summary

Problems solved by technology

[0004] At present, most of the image steganography algorithms based on fuzzy set theory are based on grayscale images, and the reasoning system only considers the case of single input and single output [3, 8]. The color information and the characteristics of the image itself have not been effectively utilized, resulting in limited embedding capacity and practicality. Sex is not strong

In addition, most of the existing color image steganography algorithms use the grayscale image-based steganography algorithm directly for the color channel, which fails to make full use of the color visual perception mechanism and consider the correlation between the color image color channels, which will lead to As a result, the steganography algorithm is not safe and easy to be detected

Images