JOURNAL OF SOFTWARE (JSW)
ISSN : 1796-217X
Volume : 3    Issue : 9    Date : December 2008

Segmenting Histogram-based Robust Audio Watermarking Approach
Xiaoming Zhang
Page(s): 3-11
Full Text:
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Abstract
Based on the invariant features and data distribution in time domain before and after attacking on
the audio, it is clearly that the standard variance shows good invariant statistical feature. The
relation of four consecutive bins in a histogram maintains change less than 5%. Then, a general
data selection approach, which meets the demands of normal distribution and other distributions,
is created for the watermark hiding. Based on segmenting idea, an audio watermarking algorithm
of embedding and extracting is designed with statistical features by the stable relation of four
consecutive bins. Experimental results show that the algorithm can resist on attack of low-pass
filtering with large hiding bandwidth up to 17 bit/s. It shows much better than the existed histogram
approach with relations of three consecutive bins. The algorithm can also resist on the attacks of
TSM and other common attacks.

Index Terms
Audio watermarking, Histogram, Segmenting, Algorithm, Robustness