Wavelet domain watermarking capacity analysis

Capacity is an important character of digital watermarking. Research of image watermarking capacity is to study how much information can be hidden in an image. Recently, wavelet transform has been applied widely in watermarking research as its excellent multi-resolution analysis property. According to watermarking methods in wavelet domain, watermark´s embedding and extracting realized in wavelet domain, we think that watermarking capacity should be analyzed in wavelet domain also. This paper presents a watermarking capacity analysis method based on content of wavelet subbands by using Watson quantization matrix and Noise Visibility Function (NVF), and discusses watermarking capacity of blind watermarking and non-blind watermarking in this scenario.