Robust Audio Watermarking Algorithm Based on Histogram Specification

It is very important to resist on the typical attacks for the watermarking algorithms. From the data distribution analysis in time domain before and after attacking on the audio, the relation of four consecutive bins in a data histogram can keep its change within plusmn 5%. A data range selection approach, which meets the demands of normal distribution, is created generally for the watermark hiding. Based on segmenting idea, an audio watermarking algorithm is designed with statistical features by the stable relation of four consecutive bins. Experimental results show that the algorithm can resist on the attack of low pass filtering effectively. It shows much better than the existed histogram approach with relations of three consecutive bins. The algorithm can also resist on the attacks of time-scale modification, volume change of plusmn 50%, along with strong robustness to the common attacks of MP3 compression, re-sampling and re-quantization.