학술논문

Multiscale anisotropic analysis for assessment of similarity between papers in a large Matisse print dataset
Document Type
Conference
Source
2020 54th Asilomar Conference on Signals, Systems, and Computers Signals, Systems, and Computers, 2020 54th Asilomar Conference on. :137-141 Nov, 2020
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Wavelet transforms
Computers
Wavelet analysis
Language
ISSN
2576-2303
Abstract
1 The aim of the present work is to assess similarities between papers used in a collection of 215 lithographs by Henri Matisse. It combines the use of an anisotropic multiscale analysis built upon the hyperbolic wavelet transform to compute distances between textures, with the fact that four textures of the same print were digitized, corresponding to four different (recto/verso and top/side) views. A permutation algorithm is devised showing the importance of reordering the four views to achieve a meaningful comparison across the papers, thus suggesting possibly different artistic intentions in some prints.