Digital watermarking capacity analysis in wavelet domain

Capacity is an important property 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. This paper realizes a content adaptive watermarking algorithm using Watson quantization matrix and noise visibility function (NVF), and discusses the capacity problem of watermarking in wavelet domain.