1999
@techreport{PoS1999,
vgclass = {report},
author = {Javier Portilla and Eero P. Simoncelli},
title = {Texture Representation and Synthesis Using Correlation of
Complex Wavelet Coefficient Magnitudes},
number = {54},
institution = {Consejo Superior de Investigaciones Cientificas (CSIC)},
address = {Madrid},
month = {29~March},
year = {1999},
url = {http://ftp.cns.nyu.edu/pub/eero/portillaTR54-ltr.ps.gz},
url1 = {ftp://ftp.optica.csic.es/pub/papers/portillaTR54.ps.gz},
abstract = {We present a statistical characterization of texture
images in the context of an overcomplete complex wavelet transform. The
characterization is based on empirical observations of statistical
regularities in such images, and parameterized by (1) the local
auto-correlation of the coefficients in each subband; (2) both the
local auto-correlation and cross-correlation of coefficient {\em
magnitudes} at other orientations and spatial scales; and (3) the first
few moments of the image pixel histogram. We develop an efficient
algorithm for synthesizing random images subject to these constraints
using alternated projections, and demonstrate its effectiveness on a
wide range of synthetic and natural textures. We also show the
flexibility of the representation, by applying to a variety of tasks
which can be viewed as constrained image synthesis problems.},
}