Wavelet transform and Arnold based adaptive gray-scale watermark embedded method

Abstract

The invention discloses a wavelet transform and Arnold based adaptive gray-scale watermark embedded method which comprises the following steps: carrying out square matrix conversion and scrambling processing on an original watermark image; carrying out wavelet transform (three times) on an original host audio to obtain wavelet low frequency coefficients as the embedded pre-selected position of a watermark; automatically searching an optimal embedded sequence from the low frequency coefficients, wherein the optimal embedded sequence is the optimal embedded position of the watermark; and carrying out convolution on a digital watermark image sequence and the optimal embedded sequence, namely, embedding the digital watermark image into the low frequency coefficients of audios. The method is characterized in that in the process of digital watermark extraction, the audios containing watermarks are detected according to the original audio, and a watermark image sequence is extracted from the audios; and in the process of digital watermark reduction, the length and width of the original image are taken as extraction keys, and the extracted watermarks are reduced through the utilization of reverse Arnold conversion and image reconstruction. The method disclosed by the invention is strong in function, quick in computing speed, easy and convenient to implement, and has certain practical values in the aspects of digital image copyright protection and information hiding.

Description

Technical field [0001] The invention relates to an adaptive gray-scale watermark embedding method based on wavelet transform and Arnold, which provides an effective protection method for information hiding, copyright protection, and data security of digital audio watermarking. Background technique [0002] Digital audio watermarking technology is a process of embedding specific meaning and easy to extract information into it without affecting the quality of the original audio. It does not affect the use of the original carrier, and it is not easy to be perceived by the human auditory system to change the audio signal. A mature digital audio watermarking method needs to have the following characteristics: robustness (robustness) that is anti-interference ability, undetectability (undetectability), transparency (invisibility), security (security), low computational complexity and low error rate Wait. The current digital audio watermarking methods mainly deal with binary images, an...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the problems existing in the above-mentioned existing methods, especially the defects such as low amount of embedded information, long operation time, and poor anti-perception in the transform domain method, the present invention proposes an adaptive grayscale watermark embedding method based on wavelet transform and Arnold , the low-frequency coefficients will be obtained by carrier audio wavelet d

Images