Title :
A wavelet-based multiresolution statistical model for texture
Author :
Zhang, J. ; Wang, D. ; Tran, Q.N.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
fDate :
11/1/1998 12:00:00 AM
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
Keywords :
image reconstruction; image resolution; image texture; random processes; statistical analysis; wavelet transforms; complex random field model; images; long-range correlations; nonlinear spatial correlations; random fields; texture synthesis; wavelet subbands; wavelet-based multiresolution statistical model; Image analysis; Image coding; Image processing; Image resolution; Image restoration; Image retrieval; Image segmentation; Image texture analysis; Markov random fields; Spatial resolution;
Journal_Title :
Image Processing, IEEE Transactions on
