A wavelet-based multiresolution statistical model for texture

  • Authors:

  • J. Zhang;D. Wang;Q. N. Tran

  • Affiliations:

  • Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1998

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Abstract

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