Title :
WaveStat-cluster analysis of image data and wavelet coefficients
Author :
Simon, Ute ; Berndtgen, Manfred
Author_Institution :
Nat. Res. Center for Inf. Technol., St. Augustin, Germany
Abstract :
The Wavestat project deals with the application of different clustering methods on wavelet coefficients of image data to approach the reconstruction of the image from the clustered and averaged wavelet coefficients. The quality of the reconstruction depends on the used wavelet-transform, the kind of applied cluster analysis and the number of iterations when performing the inverse wavelet transform
Keywords :
image recognition; image reconstruction; wavelet transforms; WaveStat; averaged wavelet coefficients; clustered wavelet coefficients; image data; image reconstruction; inverse wavelet transform; iterations; Data analysis; Fourier transforms; Image analysis; Image reconstruction; Information technology; Signal analysis; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.712027