Watermark Embedding and Extraction using Histogram Shifting and Butterworth Filtering

In the digital image watermarking community, developing a robust watermarking method has withdrawn attention in recent years. In this paper, robust image watermark algorithm is proposed which is based on histogram shape and Butterworth filtering that resist against geometric attack and signal processing attack by using invariance property of histogram to scaling and without exploiting robust feature of pixel position statistically. In this method, embedding of watermark is done by bin shifting within group by maintaining histogram shape. At watermark detection site, watermark is detected by calculating relationship between bins of group. Watermark scheme is blind in nature.Experimental results show that the proposed method is robust to rotation, scaling and translation attacks, as well as some signal processing attacks and maintain good quality.