Self-similarity has played an important role in mathemat-ics and some areas of science, most notably physics. We briefly examine how it has become an important idea in imaging, with reference to fractal image coding and, more recently, other methods that rely on the local self-similarity of images. These include the more recent nonlocal meth-ods of image processing. 1
This idea of repeating a similar shape (often at a different scale) over and over again, is called s...
The difficult task of finding a recurrent representation of an input shape is called the inverse pr...
Fractal image coding uses geometrical self-similarity proper-ties in the given image and it shows a ...
International audienceThe non-local means filter (NL-means) is very efficient in restoring images de...
This thesis has two related goals: the first involves the concept of self-similarity of images. Ima...
This thesis examines the concept of image self-similarity and provides solutions to various associat...
Abstract. Numerical experiments indicate that images, in general, pos-sess a considerable degree of ...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
Abstract. Results presented in this paper represent part of an ongoing research programme dedicated ...
Introduction Central to fractal geometry[3] is the concept of self-similarity. Fractal and multifrac...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
Abstract: A representation of fractal patterns is presented for coding complex random patterns in no...
188 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation will also p...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
International audienceRecently, significant progress has been made in different image processing tas...
This idea of repeating a similar shape (often at a different scale) over and over again, is called s...
The difficult task of finding a recurrent representation of an input shape is called the inverse pr...
Fractal image coding uses geometrical self-similarity proper-ties in the given image and it shows a ...
International audienceThe non-local means filter (NL-means) is very efficient in restoring images de...
This thesis has two related goals: the first involves the concept of self-similarity of images. Ima...
This thesis examines the concept of image self-similarity and provides solutions to various associat...
Abstract. Numerical experiments indicate that images, in general, pos-sess a considerable degree of ...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
Abstract. Results presented in this paper represent part of an ongoing research programme dedicated ...
Introduction Central to fractal geometry[3] is the concept of self-similarity. Fractal and multifrac...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
Abstract: A representation of fractal patterns is presented for coding complex random patterns in no...
188 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation will also p...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
International audienceRecently, significant progress has been made in different image processing tas...
This idea of repeating a similar shape (often at a different scale) over and over again, is called s...
The difficult task of finding a recurrent representation of an input shape is called the inverse pr...
Fractal image coding uses geometrical self-similarity proper-ties in the given image and it shows a ...