Developing Mathematical Tools to Investigate Art

Year: 2012 Authors: Ingrid Daubechies

Core claim

Wavelet transforms can reveal stylistic and scale-dependent features in paintings that help characterize an artist’s style and support authenticity and dating investigations.

Topics

art authentication, image processing, wavelet analysis, painting style

Domains

wavelet transforms, image analysis, signal decomposition, painting, art authentication, art history, forgery detection

Methods

high-resolution scanning, complex directional wavelets, patch-based analysis, machine learning

Media

gray-value digital images, high-resolution scans, Van Gogh paintings

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.