Wavelets and multiscale transform in astronomical image processing

Authors:
Fionn Murtagh;Jean-Luc Starck
Affiliations:
School of Computer Science, The Queen's University of Belfast, Belfast BT7 1NN, Northern Ireland;DAPNIA/SEI-SAP, CEA/Saclay, 91191 Gif sur Yvette, France
Venue:
Handbook of massive data sets
Year:
2002

Citing 9
Cited 0

Generalized fisheye views

CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphical fisheye views of graphs

CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing
The movable filter as a user interface tool

CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A wavelet approach to foveating images

SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Image processing and data analysis: the multiscale approach

Image processing and data analysis: the multiscale approach
Multiscale entropy filtering

Signal Processing
Foveation techniques and scheduling issues in thinwire visualization

Foveation techniques and scheduling issues in thinwire visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the requirements of scientific and medical image database support in mind, we describe a range of useful technologies for storage, transmission and display. These new technologies are all based on discrete wavelet or related multiscale transforms. Other important issues include noise modeling, and the innovative use of entropy for information characterization.