An Effective Binary Image Watermarking Algorithm Based on Stochastic Tree Division

Aiming at the binary text imagepsilas characteristics of simple pixel, complex texture and bad immunity of information concealment, a digital watermarking embedment location choosing method based upon compatible roughness class has been put forward. This method divides binary text images into different equivalence classes. Equivalence classes are further divided into different subclasses according to each pixelpsilas degree and texture changes between blocks. Through propertiespsila combination, the embedment block and location which are fit for watermarking are screened out. At last, different binary text images are chosen for emulation experiment.