# Ingrid Daubechies

- James B. Duke Professor of Mathematics and Electrical and Computer Engineering
- Professor in the Department of Mathematics
- Professor in the Department of Electrical and Computer Engineering (Joint)

### Research Areas and Keywords

##### Analysis

##### Biological Modeling

##### Computational Mathematics

##### Geometry: Differential & Algebraic

##### Mathematical Physics

##### Signals, Images & Data

Elected Member. National Academy of Engineering. February 2015

Elected Member. National Academy of Sciences. September 2013

Fellow. American Mathematical Society. September 2013

Fellow. Institute of Electrical and Electronics Engineers. September 2013

Fellow. MacArthur Foundation. September 2013

## Pages

### Selected Grants

Simons Foundation - Math + X Investigators awarded by Simons Foundation (Principal Investigator). 2016 to 2021

New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis awarded by National Science Foundation (Principal Investigator). 2015 to 2019

Structured Dictionary Models and Learning for High Resolution Images awarded by National Science Foundation (Co-Principal Investigator). 2013 to 2017

Mathematics of Low Dimensional Represenations for Design awarded by Office of Naval Research (Co-Principal Investigator). 2011 to 2016

Discovery of Empirical Components by Information Theory, Random Matrix Theory, and Computational Topology awarded by Princeton University (Principal Investigator). 2013 to 2016

Digital Removal of Cradle Artifacts from X-rays of Old Masterworks Painted on Wood Panel awarded by Samuel H. Kress Foundation (Principal Investigator). 2014 to 2015

Voronin, S, and Daubechies, I. "An iteratively reweighted least squares algorithm for sparse regularization." *Contemporary Mathematics.* January 1, 2017. 391-411.
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Daubechies, I. "Foreword." January 10, 2009. xv-xvi.

Shan, S, Kovalsky, SZ, Winchester, JM, Boyer, DM, and Daubechies, I. "ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal." *Methods in Ecology and Evolution* (January 1, 2019).
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Yin, R, and Daubechies, I. "Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling." *Journal of Fourier Analysis and Applications* 24.3 (June 1, 2018): 872-907.
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Gao, T, Yapuncich, GS, Daubechies, I, Mukherjee, S, and Boyer, DM. "Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation." *Anatomical record (Hoboken, N.J. : 2007)* 301.4 (April 2018): 636-658.
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Alaifari, R, Daubechies, I, Grohs, P, and Yin, R. "Stable Phase Retrieval in Infinite Dimensions(Accepted)." *Foundations of Computational Mathematics* (January 1, 2018).
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Xu, J, Yang, H, and Daubechies, I. "Recursive Diffeomorphism-Based Regression for Shape Functions." *Siam Journal on Mathematical Analysis* 50.1 (January 2018): 5-32.
Full Text Open Access Copy

Alaifari, R, Daubechies, I, Grohs, P, and Thakur, G. "Reconstructing Real-Valued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames." *Journal of Fourier Analysis and Applications* 23.6 (December 1, 2017): 1480-1494.
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Cornelis, B, Yang, H, Goodfriend, A, Ocon, N, Lu, J, and Daubechies, I. "Removal of Canvas Patterns in Digital Acquisitions of Paintings." *Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society* 26.1 (January 2017): 160-171.
Full Text Open Access Copy

Yin, R, Gao, T, Lu, YM, and Daubechies, I. "A tale of two bases: Local-nonlocal regularization on image patches with convolution framelets." *Siam Journal on Imaging Sciences* 10.2 (January 1, 2017): 711-750.
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Fodor, G, Cornelis, B, Yin, R, Dooms, A, and Daubechies, I. "Cradle removal in X-ray images of panel paintings." *Image Processing on Line* 7 (January 1, 2017): 23-42.
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Daubechies, I, Defrise, M, and Mol, CD. "Sparsity-enforcing regularisation and ISTA revisited." *Inverse Problems* 32.10 (October 1, 2016): 104001-104001.
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## Pages

Deligiannis, N, Mota, JFC, Cornelis, B, Rodrigues, MRD, and Daubechies, I. "Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation." February 2017. Full Text

Deligiannis, N, Mota, JFC, Cornelis, B, Rodrigues, MRD, and Daubechies, I. "X-ray image separation via coupled dictionary learning." 2016 IEEE International Conference on Image Processing (ICIP). September 25, 2016 - September 28, 2016.: IEEE, September 2016. Full Text

Yin, R, Monson, E, Honig, E, Daubechies, I, and Maggioni, M. "Object recognition in art drawings: Transfer of a neural network." May 18, 2016. Full Text

Yin, R, Dunson, D, Cornelis, B, Brown, B, Ocon, N, and Daubechies, I. "Digital cradle removal in X-ray images of art paintings." January 28, 2014. Full Text

Puente, J, Boyer, DM, Gladman, JT, and Daubechies, IC. "Automated approaches to geometric morphometrics." 2013.

"On the dynamics of boosting." January 1, 2004.

Cvetković, Z, Daubechies, I, and Logan, BF. "Interpolation of bandlimited functions from quantized irregular samples." January 1, 2002. Full Text

Moayeri, N, Daubechies, I, Song, Q, and Wang, HS. "Wavelet transform image coding using trellis coded vector quantization." January 1, 1992. Full Text

The 2018 Fudan-Zhongzhi Science Award has been awarded to Ingrid Daubechies, James B. Duke Professor of Mathematics and Electrical and... read more »

On June 4th, 2018, Professor Ingrid Daubechies was the first female recipient of the William Benter Prize in Applied Mathematics. This prestigious award recognizes outstanding mathematical contributions that have had a direct and fundamental impact... read more »

In a paper published in the *SIAM Journal on Imaging Sciences*, Rujie Yin, Bruno Cornelis, Gabor Fodor, Noelle Ocon, David Dunson, and Ingrid Daubechies present an... read more »

Ingrid Daubechies, a prominent mathematician whose pioneering work on wavelets is the foundation for millions of consumer products, has received a $1.5 million grant from the Simons Foundation. The... read more »

Duke undergraduates know professor Ingrid Daubechies as an instructor of multivariable calculus, but beyond Duke, she has become famous for her study of wavelets, or mathematical functions with the ability to enhance image compression technology... read more »