Prof. Mladen Victor Wickerhauser Profile

Prof. Mladen Victor Wickerhauser

at Washington Univ in St Louis

SPIE Involvement:

Author | Instructor

Proceedings Article | 12 April 2004 Paper

A simple nonlinear filter for edge detection in images

Mladen Wickerhauser, Wojciech Czaja

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.548915

KEYWORDS: Nonlinear filtering, Edge detection, Detection and tracking algorithms

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Proceedings Article | 8 March 2002 Paper

Progress in wavelet algorithms and applications

Mladen Wickerhauser

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458771

KEYWORDS: Wavelets, Transform theory, Quantization, Algorithms, Distortion, Image compression, Denoising, Data compression, Computer simulations, Turbulence

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Proceedings Article | 30 October 1997 Paper

Comparison of wavelet image coding schemes for seismic data compression

Anthony Vassiliou, Mladen Wickerhouser

Proceedings Volume 3169, (1997) https://doi.org/10.1117/12.279684

KEYWORDS: Image compression, Wavelets, Data compression, Quantization, Wavelet transforms

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Proceedings Article | 6 April 1995 Paper

Adapted wavelet computation methods

Mladen Wickerhauser

Proceedings Volume 2491, (1995) https://doi.org/10.1117/12.205416

KEYWORDS: Wavelets, Matrices, Matrix multiplication, Transform theory, Mathematics, Algorithms, Linear algebra, Superposition

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Proceedings Article | 25 October 1994 Paper

Time localization techniques for wavelet transforms

Mladen Wickerhauser

Proceedings Volume 2277, (1994) https://doi.org/10.1117/12.191886

KEYWORDS: Wavelets, Convolution, Optical filters, Wavelet transforms, Electronic filtering, Discrete wavelet transforms, Fourier transforms, Linear filtering, Finite impulse response filters, Signal detection

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SPIE Journal Paper | 1 July 1994

Adapted waveform analysis as a tool for modeling, feature extraction, and denoising

Ronald Coifman, Mladen Wickerhauser

OE, Vol. 33, Issue 07, (July 1994) https://doi.org/10.1117/12.10.1117/12.173206

KEYWORDS: Denoising, Automatic target recognition, Wavelets, Feature extraction, Medical diagnostics, Signal processing, Superposition, Interference (communication), Magnetic resonance imaging, Mathematics

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SPIE Journal Paper | 1 July 1994

Two fast approximate wavelet algorithms for image processing, classification, and recognition

Mladen Wickerhauser

OE, Vol. 33, Issue 07, (July 1994) https://doi.org/10.1117/12.10.1117/12.172905

KEYWORDS: Wavelets, Argon, Detection and tracking algorithms, Bromine, Image processing, Image classification, Matrices, Condition numbers, Algorithms, Linear filtering

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Proceedings Article | 15 March 1994 Paper

Wavelet approximations to Jacobians and the inversion of complicated maps

Mladen Wickerhauser

Proceedings Volume 2242, (1994) https://doi.org/10.1117/12.170015

KEYWORDS: Wavelets, Argon, Bromine, Chemical elements, Information operations, Matrices, Condition numbers, Factor analysis, Linear filtering, Zirconium

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Proceedings Article | 1 February 1992 Paper

Fast approximate factor analysis

Mladen Wickerhauser

Proceedings Volume 1610, (1992) https://doi.org/10.1117/12.135163

KEYWORDS: Wavelets, Factor analysis, Machine vision, Computer vision technology, Computer graphics, Visualization, Digital filtering, Computing systems, Distance measurement, Mirrors

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Showing 5 of 9 publications

SPIE Conference Volume | 13 April 2009

Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII

SPIE Conference Volume | 12 April 2004

Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II

SPIE Conference Volume | 1 April 2003

Independent Component Analyses, Wavelets, and Neural Networks

Conference Committee Involvement (10)

Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX

27 April 2011 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII

7 April 2010 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII

13 April 2009 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII

13 April 2009 | Orlando, Florida, United States

Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors and Neural Networks VI

17 March 2008 | Orlando, Florida, United States

Showing 5 of 10 Conference Committees

Course Instructor

SC475: Survey of Wavelet Algorithms and Applications

This course will include a brief description of wavelets and wavelet packets, followed by a moderately detailed survey of fast discrete wavelet transform algorithms and implementations. Emphasis will be placed on the "lifting" implementation, treatment of boundaries, and wavelet and basis selection, keyed to the transforms used in the WSQ and JPEG2000 image compression algorithms. The related lapped orthogonal transforms will be discussed as well.

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