This paper presents an approximation algorithm for two-dimensional signals (e.g., images) using polynomial functions. The proposed algorithm is based on an adaptive segmentation of the original signal into adjacent regions and on the approximation of the signal in each region by a two-dimensional polynomial function. The segmentation is obtained by an adaptive region growing technique which allows perfect adaptation between the chosen approximation and the inner structure of the signal. Results of this technique are presented in the context of image coding applications
A new method for segmenting intensity images into smooth surface segments is presented. The main ide...
AbstractA transform method for compressing digital data on a two-dimensional lattice, based on polyn...
Previous work at the Institute for Perception Research has resulted in a new model for representing ...
An approximation algorithm for two-dimensional (2-D) signals, e.g. images, is presented. This approx...
This document summarizes the author's research on adaptive image and signal representations usi...
This Ph.D. dissertation analyses the problem of segmenting an image into a set of regions correspond...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
This Ph.D. dissertation analyses the problem of segmenting an image into a set of regions correspond...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
The paper presents a method for segmentation of images using region growing, with modification throu...
The purpose of this paper is to present an adaptive algorithm to find the best approximation in the ...
A new method for segmenting intensity images into smooth surface segments is presented. The main ide...
AbstractA transform method for compressing digital data on a two-dimensional lattice, based on polyn...
Previous work at the Institute for Perception Research has resulted in a new model for representing ...
An approximation algorithm for two-dimensional (2-D) signals, e.g. images, is presented. This approx...
This document summarizes the author's research on adaptive image and signal representations usi...
This Ph.D. dissertation analyses the problem of segmenting an image into a set of regions correspond...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
This Ph.D. dissertation analyses the problem of segmenting an image into a set of regions correspond...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
In this paper, we describe how the recently developed technique of polynomial transforms can be appl...
The paper presents a method for segmentation of images using region growing, with modification throu...
The purpose of this paper is to present an adaptive algorithm to find the best approximation in the ...
A new method for segmenting intensity images into smooth surface segments is presented. The main ide...
AbstractA transform method for compressing digital data on a two-dimensional lattice, based on polyn...
Previous work at the Institute for Perception Research has resulted in a new model for representing ...