Research On Key Technologies Of Image Anti-counterfeiting And Copyright Protection

With the popularization of high-precision printing equipment and the development of network communication technology,the piracy of digital products is becoming more and more serious,which not only infringes the interests of copyright owners,but also hinders the development of the digital publishing industry.How to protect digital copyright is a key issue that needs to be solved urgently.To realize image anti-counterfeiting by using microstructure dots,it is necessary to establish a character template font library.This thesis presents an approach for creating a halftone character template font library automatically.Using the threshold matrix method,the automatic generation of character templates is realized;and transformations such as dilation and erosion are used to change the texture and morphology of the character templates,so as to obtain character templates with different shapes and gray levels.This thesis presents a halftone anti-counterfeiting image creation method based on microstructure dots to protect the copyright of halftone images.The image matching algorithm based on image similarity realizes the grayscale matching and morphological matching of the image,and uses this algorithm to filter the character set that meets the requirements in the font library to replace the original image to generate a halftone anti-counterfeiting image.The traditional hash function is sensitive to the original data.Based on the analysis and comparison of image hashing algorithms,this thesis proposes an image authentication algorithm based on double hashing.This algorithm can realize the authentication of image copyright under the condition that the image structure information does not change.Applying this algorithm to the prototype system of image copyright protection based on blockchain can ensure the uniqueness of image copyright.Tests show that the algorithm in this thesis is superior to aHash,pHash,dHash and other single image hashing algorithms in terms of operation speed and detection accuracy.