Image steganography method based on bacterial foraging optimization edge detection and XOR coding

Abstract

The invention discloses an image steganography method based on bacterial foraging optimization edge detection and XOR coding, and belongs to the technical field of image information hiding, and the method comprises the following steps: 1, fuzzifying the USAN region area of a carrier image, carrying out the fuzzy enhancement, and carrying out optimization by employing a bacterial foraging algorithm; 2, performing image defuzzification through an adaptive threshold to realize edge detection; 3, encrypting secret information; and 4, embedding the secret information into the edge points and the non-edge points of the carrier image by using XOR coding, quartering all pixel points during embedding, and ensuring that the secret information can be embedded into the pixels embedded into each quartered group according to a minimum pixel change principle. The method has large steganography capacity, the imperceptibility of a secret-loaded image can be well kept, and the security is high.

Description

technical field [0001] The invention belongs to the technical field of image information hiding, in particular to an image steganography method based on bacterial foraging optimization edge detection and XOR coding. Background technique [0002] With the continuous development of information technology, the issue of information security has become increasingly prominent. In recent years, the field of steganography, the art and science of information hiding, has become the focus 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 one of the current research hotspots. From the perspective of message embedding domain, steganography methods can be divided into empty domain steganography and transform domain steganography. Embedding capacity, imperceptibility, and security are the three main indicators for evaluating image steganography systems, and they check and balance...

AI Technical Summary

Problems solved by technology

The advantage of this algorithm is that the embedding of secret information will not change the judgment of the edge block, and the embedding efficiency of the XOR method is higher than that of the traditional LSB method, but the disadvantage is that the embedding rate of this algorithm is not high, and the threshold may be adjusted manually. loss of edge blocks

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