4. Java Applets
These Java applets are running on browsers supporting a recent Java Virtual Machine.
SURE-LET Wavelet Denoising (in color or in grayscale) Florian Luisier A new approach to color or grayscale image denoising. |
Variational Levelset Spline Olivier Bernard New formulation of level-set modeling the implicit as a continuous parametric function expressed on a B-spline basis. |
Steerable Feature Detection Mathews Jacob and François Aguet General approach for the design of 2-D feature detectors. |
Extended Depth of Field using the Wavelet Transform Download a program to perform an extended depth of focus of z-stack images to obtain in focus image. |
Hex-splines Dimitri Van de Ville A novel spline family for hexagonal lattices. |
Fractional Splines Wavelets Thierry Blu Wavelet bases with a continuously-varying order parameter and continuously-varying order and shift parameters. |
Computerized Tomography Michael Liebling Simulates the computerized tomography (Radon transform) and performs the reconstruction (filtered backprojection). |
Comparison of interpolators Philippe Thévenaz Compares the standard interpolation functions with the ones developped by the BIG. |
Fractional Quincunx Wavelets Manuela Feilner Shows the quincunx transform using filters of fractional order. |
Resizing Arrate Muñoz Barrutia The optimal algorithm to resize images. |
Spline Warping of our staff members Daniel Sage Bidirectional landmark warping of our staff. |
Edge Detection (Move to HTML5/Javascript) The old applet is still available at this page Daniel Sage |
Gradient Daniel Sage |
Basis functions of the FFT Daniel Sage |
Basis functions of the DCT Daniel Sage |
Basis functions of the Haar Wavelet Transform Daniel Sage |
Local Normalization (Move to HTML5/Javascript) The old applet is still available at this page Daniel Sage |
Morphology Operators (Move to HTML5/Javascript) The old applet is still available at this page Daniel Sage |
Smoothing Techniques Daniel Sage |
Template Matching Daniel Sage |
Drop Shape Analysis Aurélien Stalder |
Denoising of Fractal-like images using Polyharmonic B-splines Alex Prudencio |
Filtering in Fourier Domain (Move to HTML5/Javascript) The old applet is still available at this page Joy Anushini Ariarajah |
Edge detection with a sub-pixel precision Nicolas Pavillon |
Complex Fractional Splines Wavelet Florian Luisier |
Virtual Microscope Christophe Magnard |
Diffusion Enhancing Methods Alwyn Fernandes |
Continuous Wavelet Transform using Splines Raphaël Ertle |
Graylevel Watershed (Move to HTML5/Javascript) The old applet is still available at this page Daniel Stadelmann |
Non Linear Diffusion Filtering Laurent Vieira De Mello |
Interpolation on Affine Transformation Raphaël Marthe |
Mathematica CDF Player
Requires the CDF Player of Wolfram Mathematica.
This website visualizes some useful applications of Polynomial Splines, also called B-splines.
Image Processing Online Demonstrations
These demonstrations run on any moderm browsers supporting HTML5.
Detection of the ridges in an image using the Hessian filter (Canny algorithm).
Filtering an image in the frequency domain. Low-Pass, high-Pass, or band-Pass filters.
Directional analysis of an image based on the gradient structure tensor.
Uniformization of the local mean and variance. Correct the non uniform illumination.
Run the watershed segmentation algorithm on a smoothed version of the image.
Discrete Fourier transform of a image. Display modulus, phase, real, and imaginary part.
3. Apple iOS Apps
These Apple apps are available on the Apple store and run on iPhone/iPad.
Filter Creator helps you to better understand the mathematics of discrete and continuous audio filters and is particularly aimed at students of signal processing classes.
This app generates artistic representations of Mondrian processes. These processes are named after Piet Mondrian (1872-1944), a great figure in the neoplasticism style known for his grid-based paintings.
Mondriaan process mapped onto the surface of an exponential-spline monopole
DownloadPseudo-color display of a realization of a Mondrian process