Digital Image Copyright Protection Scheme Using Joint Feature Extraction
In order to protect and validate the ownership of digital multimedia works,a novel copyright authentication watermarking scheme,contrasted with the conventional robust watermarking scheme,is proposed.The joint feature extracted in proposed scheme consists of the luminance feature and the texture feature,wherein,the clustering function of generalized brain-state-in-a-box neural network(gBSB) and histogram statistical moment are employed to describe luminance and texture respectively.Experimental results show that the proposed scheme is adequately resilient to some malicious attacks,and it is practicable and reliable to be applied to the application in copyright protection.