Wavelets: Mathematical Tools for Image Analysis

Author:

Daubechies Ingrid

Abstract

Mathematics is very human—we all enjoy using our brains, thinking, making connections, and checking to see if our conclusions are true. For me, mathematics is also a way to experience creativity, which is what makes me happy. In this article, I want to share this delight with you, through the story of wavelets. Wavelets are mathematical tools that my colleagues and I developed, which are very useful in analyzing images and other signals like medical scans or audio files. I hope that, by the end of this article, you will see that mathematics is much more interesting and diverse than memorizing formulas and performing calculations. It is a creative endeavor that advances society and can make our lives richer and more beautiful.

Publisher

Frontiers Media SA

Subject

General Materials Science

Reference8 articles.

1. “Ten lectures on wavelets,”;Daubechies,1992

2. Biorthogonal bases of compactly supported wavelets;Cohen;Commun. Pure Appl. Math.,1992

3. Image coding using wavelet transform;Antonini;IEEE Trans. Image Process.,1992

4. A tutorial on modern lossy wavelet image compression: foundations of JPEG 2000;Usevitch;IEEE Sign. Process. Mag.,2001

5. Mathematical properties of the JPEG2000 wavelet filters;Unser;IEEE Trans. Image Process.,2003

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