Low-distortion steganography method based on pixel matrix

Abstract

The invention provides a low-distortion steganography method based on a pixel matrix. The low-distortion steganography method based on the pixel matrix comprises four main steps that 1) carrying out system initialization based on an input image C size; 2) compressing and mixing the to-be-steganographic information based on the pixel matrix size parameters, and carrying out segmentation coding; 3)marking the encoded image in the image to obtain the lowest steganography image; and 4) reading M low-distortion to restore original to-be-steganographic images from the steganographic image. Comparedwith the prior art, the steganography method has the advantages that in the steganography process, the least significant bit of at most one pixel in each line is modified; the traditional statisticalattack aiming at the high-density LSB mark can be avoided; and comprehensive support for existing compression and encryption is provided, and the possibility of further improving the bearing capacityof steganography information in the method is achieved.

Description

technical field [0001] The invention belongs to the field of information steganography in information security technology, and relates to an information steganography technology in which an original image can be restored in an airspace part, in particular to a hiding and restoring method based on pixel matrix size and pixel position in the matrix. Background technique [0002] Information steganography is a branch of information security technology. The goal of information steganography is to hide as much information as possible with minimum distortion. There are many electronic documents that can be used for steganography, such as video, audio, bitmap, compressed image, protocol-encapsulated data, and even DNA chains. According to mathematical methods, information steganography can be divided into space domain steganography and conversion domain steganography. According to recoverability, it can be divided into recoverable steganography, unrecoverable steganography, and p...

AI Technical Summary

Problems solved by technology

Currently, in DE, HS, II, and other steganographic techniques based on image pixel matrices, there is a clear upper limit of single-pixel embedding capacity due to the method

Moreover, subject to the technical limitations of the steganography method, the quality of the current steganographic image cannot be improved with the increase of the image size, etc.

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