A Non-parametric Multi-Scale Statistical Model for Natural Images
Paul Viola
The observed distribution of visual images is far from uniform.On the
contrary, images have complex and important structure that can be used
for image processing, recognition and analysis.There have been many
proposed approaches to the principled statistical modeling of images,
but each has been limited in either the complexity of the models or
the complexity of the images.We present a non-parametric multi-scale
statistical model for images that can be used for recognition, image
de-noising, and in a ``generative mode'' to synthesize high quality
textures.
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