A wavelet-based multiresolution statistical model for texture
Junqin Zhang, Dexu Wang, Quang-Anh Tran · IEEE Transactions on Image Processing · 1998
A multiresolution statistical model, consisting of random fields in wavelet subbands, is proposed for texture, and has produced promising results in texture synthesis experiments. The basic idea here is that a complex random field model, e.g., one that contains long-range and nonlinear spatial correlations, can be constructed from several simpler ones.