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Digitale Medien

Image processing through multiscale analysis and measurement noise modeling (2000)

Murtagh, F. ; Starck, J.-L.

Springer

Statistics and computing 10 (2000), S. 95-103

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Details

ISSN: 1573-1375

Schlagwort(e): wavelet transform ; multiresolution analysis ; filtering ; deconvolution

Quelle: Springer Online Journal Archives 1860-2000

Thema: Informatik , Mathematik

Notizen: Abstract We describe a range of powerful multiscale analysis methods. We also focus on the pivotal issue of measurement noise in the physical sciences. From multiscale analysis and noise modeling, we develop a comprehensive methodology for data analysis of 2D images, 1D signals (or spectra), and point pattern data. Noise modeling is based on the following: (i) multiscale transforms, including wavelet transforms; (ii) a data structure termed the multiresolution support; and (iii) multiple scale significance testing. The latter two aspects serve to characterize signal with respect to noise. The data analysis objectives we deal with include noise filtering and scale decomposition for visualization or feature detection.

Materialart: Digitale Medien

URL: http://dx.doi.org/10.1023/A:1008938224840

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