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Fractal Interpolation Surfaces derived from Fractal Interpolation Functions

open access: yesJournal of Mathematical Analysis and Applications, 2007
The paper presents a new construction of fractal interpolation surfaces based on the construction of fractal interpolation functions and proves some of their interesting properties. With the use of fractal interpolation functions, fractal interpolation surfaces are constructed as graphs of continuous functions on arbitrary data points placed on ...
Bouboulis, P., Dalla, L.
exaly   +4 more sources
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On Stability of Fractal Interpolation

Fractals, 1998
In this paper, a special kind of FIF (fractal interpolation function) is studied. The authors prove the stability of the fractal interpolations. When the interpolation data have a small perturbation, the corresponding FIFs also have a small perturbation.
Feng, Zhigang, Xie, Heping
openaire   +1 more source

The Study on Bivariate Fractal Interpolation Functions and Creation of Fractal Interpolated Surfaces

Fractals, 1997
In this paper, the methods of construction of a fractal surface are introduced, the principle of bivariate fractal interpolation functions is discussed. The theorem of the uniqueness of an iterated function system of bivariate fractal interpolation functions is proved.
Xie, Heping, Sun, Hongquan
openaire   +1 more source

Fractal Interpolation on a Torus

Acta Applicandae Mathematicae, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Fractal interpolation for natural images

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
This paper proposes a fractal interpolation for natural images. Generally, linear interpolation and spline interpolation are used for image interpolation. However, an image interpolated by the above conventional methods loses some high-frequency components of an original image. The loss of components lowers fidelity of the interpolated images.
Hiroyuki Honda   +2 more
openaire   +1 more source

Fractal Multiquadric Interpolation Functions

SIAM Journal on Numerical Analysis
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D. Kumar   +2 more
openaire   +1 more source

FRACTAL INTERPOLANTS ON THE s-SETS

Fractals, 2010
In this paper, we mainly study the s-sets (regular 1-sets), which is the most important fractal in the study of fractal geometry. The regular 1-sets are subsets of countable collection of rectifiable curves. Also we define new real maps on the s-sets by using the methodology based on fractal interpolation functions.
Paramanathan, P., Uthayakumar, R.
openaire   +1 more source

Linear fractal shape interpolation

1997
Proceedings of the Graphics Interface 1997 Conference, Kelowna, British Columbia, Canada, 21 - 23 May 1997, 155 ...
Brandon Burch, John Hart
openaire   +1 more source

Estimating fractal dimension with fractal interpolation function models

IEEE Transactions on Medical Imaging, 1997
Fractal dimension (fd) is a feature which is widely used to characterize medical images. Previously, researchers have shown that fd separates important classes of images and provides distinctive information about texture. We analyze limitations of two principal methods of estimating fd: box-counting (BC) and power spectrum (PS).
Alan I. Penn, Murray H. Loew
openaire   +2 more sources

Curve Fitting by Fractal Interpolation

2008
Fractal interpolation provides an efficient way to describe data that have an irregular or self-similar structure. Fractal interpolation literature focuses mainly on functions, i.e. on data points linearly ordered with respect to their abscissa. In practice, however, it is often useful to model curves as well as functions using fractal intepolation ...
Polychronis Manousopoulos   +2 more
openaire   +1 more source

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