Wavelet digital watermark generation method based on multi-objective quantum bat evolution mechanism

Abstract

The invention provides a wavelet digital watermark generation method of a multi-target quantum bat evolution mechanism. The method comprises the steps of establishing a design model, and determining key parameters corresponding to the multi-target quantum bat evolution mechanism. According to the invention, a multi-objective function for solving the maximum value of a multi-target wavelet digital watermark system is constructed. A quantum bat conducts the non-dominated quantum position ranking and the congestion degree calculation according to a target function value, and puts a quantum position ranked first in the non-dominated quantum position sequencing grade and largest in crowding degree into an elite quantum position set. By adopting the multi-target quantum bat evolution mechanism, the speed and the quantum position of the quantum bat are updated. A non-dominated quantum position is selected and the elite quantum position set is updated. A quantum position is selected from a final Pareto front-end quantum position set and mapped into a position as a design scheme for a multi-target wavelet digital watermark. The method is good in real-time performance and wide in application range. The method solves the technical problem in the prior art that different index requirements must be comprehensively considered for the multi-target wavelet digital watermark design.

Description

technical field [0001] The invention relates to a multi-objective wavelet digital watermark generation method. Background technique [0002] With the rapid development of digital technology and the popularization and application of the Internet, it is more convenient for people to publish and obtain information, but the problems that follow are also very serious. The characteristics of digital works that are easy to be copied and modified make digital multimedia information tampered and At the same time, the copyright of digital works is also very easy to be violated. Therefore, digital watermarking technology, as a part of information hiding technology, has received extensive attention in the field of information security. Digital watermark technology can embed specific information - watermark into digital products such as documents, audio, images, videos, etc., so as to ensure the original author's ownership of his works, and serve as evidence for identification and prosec...

AI Technical Summary

Problems solved by technology

[0004] After searching the existing technical literature, it was found that "Digital Image Watermarking and its optimization using Genetic Algorithm" published by Anshul, K.K. et al. on "2016 International Conference on Computing, Communication and Automation (ICCCA)" (2016, pp.1140-1144) uses genetic algorithm To realize the design of wavelet digital watermarking, this method converts the multi-objective problem into a single-objective problem to solve the wavelet digital watermarking problem through weighting coefficients. Using this method can obtain a compromise between robustness and imperceptibility to a certain extent. However, this method cannot optimize the robustness and imperceptibility of the wavelet digital watermarking system at the same time in a complex communication environment

"A NSGA-II Based Image Watermarking Method" published in "Journal of Internet Technology" (2013, Vol.14, No.7, pp.1131-1139) by Jiann-Shu Lee et al. uses the NSGA-II method to obtain wavelet numbers However, this method cannot comprehensively consider the influence of embedding position and embedding strength on the parameter design of wavelet digital watermarking system

Chakri, A. et al. in "Expert Systems With application" (2016, Vol.69, pp.159–175) "New directional bat algorithm for continuous optimization problems" proposed a bat search method that can better solve continuous problems. However, this method cannot overcome the contradiction between convergence speed and convergence accuracy, and it is difficult to obtain excellent results when solving complex engineering problems.

A search of the existing literature shows that for the bat evolution mechanism, only a simple single-objective problem can be solved, and the performance and speed need to be improved, and it cannot solve the multi-objective problem of robustness and imperceptibility of current digital watermarking

For the multi-objective requirements of robustness and imperceptibility of the wavelet digital watermarking system, the existing method performs simple linear weighting, transforms the multi-objective problem into a single-objective problem for solving, and cannot obtain satisfactory results under complex requirements

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