Novel robust content-based watermarking for image

Abstract

The chaotic mapping enables the logo pixels rearrange randomly in the specified spatial domain, and the mixed bits of the logo were embedded in the image DCT coefficients. To lay the watermarking information in the notable areas of the features, an algorithm of fuzzy entropy estimation was proposed. The embedding strength was characteristic adaptability with the statistic of the local feature coefficients of the original image. The logo could be detected and reconstructed by a specifically Kalman filter without the original data from the watermarked image, and would provide indication of the copyright existence. Experimental results show that the proposed scheme gives good capability and turns out to be a reliable copyright authentication tool for the digital image.

Keywords

• information hiding;image watermarking;fuzzy entropy;copyright protection